43results about How to "Short diagnosis time" patented technology

The invention discloses an open-circuit fault diagnosis method for the drive system of a double-winding fault-tolerant permanent-magnet motor. According to the method, the collected phase current of a motor is respectively subjected to the converting and processing process by a low-pass filter, a Clarke convertor, a Park vector processor, a normalization processor, an average value calculator, an absolute value calculator and an absolute value averaging processor, so as to obtain the average value of the normalized phase current of the motor and the average value of the absolute value of the normalized phase current of the motor. With the average value of the normalized phase current of the motor and the average value of the absolute value of the normalized phase current of the motor as a basis, fault diagnostic variables for the system are constructed, so that the open-circuit fault of the drive system of the double-winding fault-tolerant permanent-magnet motor can be detected and positioned in real time. Based on the above method, no extra current sensor is required, so that the method is simple, feasible and high in reliability. Based on the combined utilization of the average value of the normalized current and the average value of the absolute value of the normalized current, the incorrect diagnosis caused by load sudden change and other reasons during the conventional diagnosis process can be avoided. Meanwhile, the diagnosis time is greatly reduced. Therefore, the open-circuit fault of the drive system can be effectively detected and positioned in real time.

The invention relates to a method for on-line detecting the faults of photovoltaic cells in a solar photovoltaic power station. Two controllable switches are respectively connected in series and parallel with the output ends of each cell module in a photovoltaic cell module matrix. A short-circuit current sampling resistor is connected in series with the branch of the parallel controllable switch, and a remote control system controls the two controllable switches of each solar photovoltaic cell, carries out short-circuit test and detection on each cell module needing to be tested, acquires the short-circuit current of the photovoltaic cells by means of the short-circuit current sampling resistors, and judges whether the cell modules have faults according to the short-circuit current. The method can diagnose the faults of one or more photovoltaic cells already mounted in the photovoltaic power station, and also can carry out timed tour inspection, the detection time is short, and the safety of the solar photovoltaic power station system is greatly enhanced.

The invention discloses an open-circuit fault diagnosis method for switch tubes of a single-phase cascaded H-bridge rectifier. According to a system switch control signal and alternating-current sidecurrent polarity, switch functions under normal operation and different switch tube faults are calculated; and an output current calculation model and a state estimation model of a single-phase cascaded H-bridge rectifier module are obtained according to circuit topology of the cascaded H-bridge rectifier, and a calculated value and an estimated value of an output current are obtained. Based on characteristics that fault features of current residuals of different modules are separated and different fault diagnosis variables are mutually independent, any faulted switch tube can be positioned bycomparing the diagnosis variables with a self-adaptive detection threshold value. According to the method, the real-time diagnosis of the single-phase cascaded H-bridge rectifier in one or more switch tube fault states in an on-line real-time system can be realized, and the influence of network voltage fluctuation, load variation and operation condition change of the single-phase cascaded H-bridge rectifier is avoided; and moreover, the diagnosis time is short, the faults can be isolated in time, and the occurrence of secondary faults of the system is avoided.

The invention discloses an open-circuit fault diagnosis method of a three-phase four-wire system inverter transistor. The open-circuit fault diagnosis method can realize rapid and highly robust diagnosis of an open-circuit failure of the three-phase four-wire system inverter transistor without adding additional sampling and hardware circuits. The open-circuit fault diagnosis method only requires existing information on a control system, and has small calculation amount, thereby avoiding the increase of additional hardware circuits and software burden; the open-circuit fault diagnosis method takes a deviation of a bridge arm midpoint voltage average value as a diagnosis variable, and can realize rapid diagnosis, so that the diagnosis time is shortened into a sampling cycle; the open-circuitfault diagnosis method adopts an error self-adoptive diagnosis threshold value, can guarantee high robustness without sacrificing a diagnosis speed; in addition, the open-circuit fault diagnosis method can be applied to a three-phase four-wire system inverter capable of energy bidirectional transmission and the like.

The invention relates to a detection kit for diagnosing tuberculosis, comprising a recombinant antigenic protein, wherein the recombinant antigenic protein is the fusion protein obtained by connecting ESAT-6 (early secreting antigen target 6KD), CFP-10 (cultufiltrate protein 10KD), and MPB64 (Mycobacterium bovis 64KD) by connecting peptides according to an arbitrary sequence, wherein the connecting peptides are short peptides which do not influence the immunogenicity of ESAT-6, CFP-10 and MPB64. Preferably, the recombinant antigenic protein in the detection kit for diagnosing tuberculosis is the antigenic protein with an amino acid sequence which is SEQ ID: No.1. When the detection kit in the invention is used for diagnosing tuberculosis, the diagnosis time is short, the diagnosis is fast, the sensitivity is strong, and the specificity is high; and the detection kit has an important significance on early diagnosis of tuberculosis.

The invention provides a method for diagnosing a fault of a low-voltage frequency converter. The method is applied to the technical field of automatic control. The method comprises the steps that the low-voltage frequency converter is triggered to enter a fault self-diagnosis mode; according to the steps respectively carried out on a plurality of preset diagnosis sets, trigger pulse signals are sent to IGBTs included in the current diagnosis set, current signals of the current mutual inductor output ends of three phases U, V and W are collected after the trigger pulses signals are sent out and are determined to be the feedback current signals of the three phases U, V and W corresponding to the diagnosis sets; the fault condition of the low-voltage frequency converter is determined according to the trigger pulse signals sent to the IGBTs in the diagnosis sets and the feedback current signals of the three phases U, V and W corresponding to the diagnosis sets. The self diagnosis of a frequency converter core device is achieved by completely adopting a software method, a new hardware structure does not need to be added, and the method has the advantages of being short in diagnosis time, accurate in diagnosis result, low in implementation cost, good in practicality and the like.

The invention discloses a cascaded H-bridge converter fault diagnosis method based on a voltage residual. The method comprises the following steps of step1, according to a system switch control signaland an alternating current side current polarity, acquiring switch functions under a normal condition and different switch tube faults; step2, obtaining a single-phase cascaded H-bridge converter input voltage calculation model and a state estimation model of a corresponding module; step3, obtaining theoretical analysis values of a voltage residual under the different faults; and step4, accordingto the theoretical analysis value of the voltage residual, designing two types of counters to obtain a maximum positioning fault module, and further determining the fault switch tube through combining a switch signal. The method can be integrated into a controller, real-time performance is good, and real-time diagnosis of the single-phase cascaded H-bridge converter fault module and an open-circuit fault switch is realized.

The invention discloses a comprehensive diagnosis method for an open circuit fault of a power tube of a three-phase three-wire inverter with two current sensors and a current sensor fault. According to the method, the output line voltage deviation and the output phase voltage deviation are used as diagnostic variables at the same time, and the faults are detected and located through two characteristic combinations of the diagnostic variables. The method realizes comprehensive diagnosis of the open circuit fault of the power tube of the three-phase three-wire inverter with the two current sensors and the current sensor fault for the first time, only existing information in a control system needs to be controlled, the calculation amount is small, the two faults can be quickly and accuratelydiagnosed without adding additional sampling and hardware circuits, and the method has the advantage of high practicability.

A memory diagnosis apparatus include an intra-word testing unit that tests for a coupling fault in each bit in each word in a memory, an inter-word testing unit that tests for a coupling fault between words in each sub-array each being plural words in the memory, and an inter-block testing unit that tests for a coupling fault between sub-arrays in the memory.

The invention discloses a biosensor based on an aptamer and a manufacturing method and application thereof and belongs to the field of biochemical technique. According to the biosensor based on the aptamer, n-octadecyl mercaptan is automatically assembled on a gold film, the n-octadecyl mercaptan is combined with carboxyl group graphene oxide through intermolecular force, activating treatment is carried out on the carboxyl group graphene oxide to enable carboxyl to be converted into an active ester group, and an amido bond is formed through the active ester group and amino acid on molecule of the aptamer to enable the aptamer to be fixed on the surface of the carboxyl group graphene oxide. According to the biosensor based on the aptamer, the electrochemical activity is good, the aptamer can be well fixed, and the biosensor can be used for detection of various kinds of target protein and can be applied to the fields such as biomedicine, food safety and environmental monitoring. The manufacturing method of the biosensor based on the aptamer is simple and easy to operate. Due to the fact that hydroxyl and epoxy group which are on the graphene oxide are converted into the carboxyl due to the adoption of NaOH and ClCH2COONa, the COOH functional group content is high, the good electrochemical activity is achieved, and the aptamer can be well fixed.

The invention provides a power telecommunication network multi-domain fault diagnosis method under network virtualization environment. The method comprises three parts: SP fault deduction, SP belief evaluation, and multi-SN fault deduction; as SP fault deduction module computes a belief function value BF of each link fault probability, creates a fault propagation model according to each link faultprobability and the SO, and obtains a minimum fault set explanation syndrome set for explaining the observed syndrome, thereby effectively solving the problem that the underlying network informationis inaccessible; the multi-SN fault deduction module analyzes the syndrome, generates FPM abstracts, combines FPM abstracts of all SNs and performs the fault deduction, thereby effectively solving theproblems of the inter-domain propagation of multiple underlying network domains and the absence of the global information. The algorithm provided by the invention acquires the good accuracy rate andshort diagnosis time.

A hybrid system is developed using thermal and electrical impedance imaging methods together. The innovation of the approach relies on the frequency dependence of the tissue's electrical impedance which facilitates the acquisition of multiple thermal images with currents at different frequencies injected to the region of the body under inspection. Proposed method without current application (in passive mode of operation) provides images which are obtained by standard thermal imagers. On the other hand, the application of the electrical current (in active mode of operation) increases the temperature contrast on the body surface depending on the electrical property of tissue. Therefore, the technique while increasing the thermal contrast provides frequency dependent conductivity distribution data which can be used as a basis for the detection of the breast carcinoma. The sensitivity of the technique is increased by an infrared camera with dual band (MWIR / LWIR) imaging capability.

The invention belongs to testability technologies, and relates to a digital-analog hybrid circuit BIT device based on boundary scan. The device is composed of a link scanning module, a boundary scan controller, a master controller, a test vector storage and a tested digital-analog hybrid circuit, the boundary scan controller and the master controller are needed in scan test execution, the test vector storage is loaded with test vectors, the device can achieve a BIT based on the boundary scan according to the characteristic of a digital-analog hybrid complex circuit, and therefore the test problem caused by the structure and cross link complexity of the digital-analog hybrid circuit can be effectively solved, and universal and reliable testability design is provided for the device. The fault detection and locating of the circuit can be facilitated, testing efficiency and reliability are improved, development and maintenance cost is lowered, and operational effectiveness and overall economic benefits are improved.

The invention discloses a method for diagnosing open-circuit faults of a double-winding permanent magnet fault-tolerant motor drive system. In the method, the collected motor phase currents are respectively passed through a low-pass filter, a Clark transformation, a Park vector processor, a normalization processor, The conversion and processing of the average value calculator, absolute value calculator and absolute value averaging processor can obtain the average value of the normalized phase current of the motor and the average value of the absolute value of the normalized phase current, based on these two values The fault diagnosis variable of the system is constructed, so as to realize the real-time detection and location of the open-circuit fault of the double-winding permanent magnet fault-tolerant motor drive system. This method does not need to add an additional current sensor, is simple and easy to implement, and has high reliability. Through the joint use of the average value of the normalized current and the average value of its absolute value, it avoids the problems that are easily generated by conventional diagnostic methods due to load mutations and other reasons. Misdiagnosis, and the diagnosis time is also greatly shortened, which can effectively detect and locate the open circuit fault of the system in real time.

The invention discloses an open-circuit fault diagnosis method for a dual-active-bridge DCDC converter. The method specifically comprises the following steps of: calculating the switching function of two H bridges of the dual-active-bridge DC-DC converter according to a system driving pulse signal and the polarity of primary side inductive current; calculating an inductive current state estimation model of the dual-active-bridge DC-DC converter according to the circuit topology and the working principle of the dual-active-bridge DC-DC converter; and designing a fault diagnosis algorithm according to inter-bridge-arm voltage characteristics and current residual characteristics under the fault. According to the method of the invention, monitoring of the working state of the dual-active-bridge DC-DC converter and rapid and accurate diagnosis under different switching tube faults are realized, and a new diagnosis idea is provided for the fault diagnosis technology of the dual-active-bridge DC-DC converter.

A system for determining concentration of a predetermined osteoarthritis biomarker in a urine sample includes first cell and first limiting elements, a quartz crystal microbalance (QCM) sensor device having a sample contacting side, and a monitoring device.The first cell element has a sensor confronting side formed with a recess portion. The first limiting element is disposed at the sensor confronting side, is disposed to surround the recess portion, contacts the sample contacting side, and cooperates with the recess portion and the sample contacting side to confine a sample receiving space for receiving the urine sample.The QCM sensor device includes a quartz resonator and an antibody applied to the quartz resonator and capable of binding with the biomarker, generates a concentration signal corresponding to mass of the biomarker that binds to the antibody, and is coupled to the monitoring device to provide the concentration signal thereto for processing thereby.

The invention discloses an electric power system fault diagnosis method based on an equivalent input interference method. The electric power system fault diagnosis method comprises the following steps that S1, the whole electric power system is reasonably layered, group division is performed on the basis of each layer, groups are divided into subgroups and the equivalent power of each group is calculated; S2, the equivalent input interference observer of each group is constructed; S3, the equivalent input interference threshold of the group is solved; and S4, the change situation of the equivalent input interference observer of the group is downwardly observed layer by layer, the fault occurs through judgment if the situation that the value exceeds the equivalent input interference threshold in a certain time period occurs, detection is downwardly performed to the bottommost subgroup and the concrete node of the fault is determined and location judgment of the fault is realized, monitoring is continued if the situation of exceeding the threshold does not occur, and the subgroups of the groups of which the values do not exceed the threshold are not detected. The defects of the conventional corresponding fault diagnosis method based on the protection device and circuit breaker information can be avoided, fault diagnosis time is short and precision is high.

The invention discloses a fault diagnosis method of a permanent magnet fault-tolerant motor driving system. The method comprises the steps of firstly, constructing a permanent magnet fault-tolerant motor driving system, and completing construction of all modules and integration of a whole driving system; then collecting each phase of current of the two sets of armature windings, obtaining each phase of high-frequency current signal through a filter, and injecting a high-frequency square wave current signal into the d axes of the two sets of armature windings to obtain q-axis high-frequency voltage response; carrying out amplitude extraction on the q-axis high-frequency voltage response and the high-frequency current signals of each phase to obtain corresponding amplitudes, and carrying outmotor winding open-circuit fault diagnosis according to a motor winding open-circuit fault diagnosis criterion of the permanent magnet fault-tolerant motor driving system; and finally, according to the motor winding open-circuit fault positioning criterion of the permanent magnet fault-tolerant motor driving system, positioning a specific position where a fault occurs. The method is simple and easy to implement, high in reliability and short in fault diagnosis time, and the stability and robustness of the motor driving system are improved.

The invention relates to a quantitative diagnosis method for the short circuit in a battery based on voltage and electric quantity outlier coefficients. The method comprises the following steps: 1), acquiring voltage, current and charging time data of each single battery in the charging process of a power battery on line; 2), respectively calculating a voltage outlier coefficient and an electric quantity outlier coefficient of each single battery in each cyclic charging process; 3), based on the voltage outlier coefficient and the electric quantity outlier coefficient, determining whether the internal short circuit occurs in the power battery and positioning the single battery in which the internal short circuit occurs; and 4), quantitatively calculating the short-circuit resistance value of the single battery with the internal short circuit. Compared with the prior art, the method has the advantages of simplicity and convenience in implementation, short diagnosis time, high diagnosis accuracy and the like.

A determination device includes a processor. The processor being configured to: send first information that is not conforming to a rule of a firewall to a control device, execute first determination processing in which the control device is determined to be in a malfunction state in a case in which a first notification acquired from the control device is a normal notification, and the control device is determined to be in a normal state in a case in which the first notification is an abnormal notification, additionally send second information conforming to the rule to the control device in a case in which the control device has been determined to be in a normal state, and execute second determination processing in which the control device is determined to be in a normal state in a case in which a second notification acquired from the control device is the normal notification.

The invention belongs to the technical field of power electronic equipment fault diagnosis and fault ride-through, and relates to a sensor fault comprehensive diagnosis and ride-through method of a modular multilevel converter. The method comprises the following steps: detecting and locating the fault of an alternating current output side current sensor by comparing the measured value of the alternating current output side current sensor with an output current reference value; detecting and positioning the fault of the bridge arm current sensor by comparing the switching state of the previous control period, the charging and discharging condition of the sub-module capacitor and the measured value of the bridge arm current sensor; and detecting and positioning faults of the sub-module voltage sensors by comparing difference values of the different sub-module voltage sensors on the same bridge arm. Fault diagnosis and fault ride-through of the MMC sensor are realized, rapid and accurate detection and positioning of multiple sensors and multiple types of sensors are realized on the basis of not increasing the original MMC topological structure, and fault ride-through of the multiple sensors and the multiple types of sensors can be completed at the same time, so that the MMC can operate stably for a long time in a sensor fault state.

The present invention relates to an exhalation-based lung cancer diagnosis method and system which may comprise the steps of: producing a surface enhanced Raman spectroscopy (SERS) substrate; elutingvolatile organic compounds (VOCs) included in each of a plurality of cells, supplying cell VOC eluates to the SERS substrate, and then measuring respective cell SERS signals thereof; learning signal patterns of each of the cells by applying deep-learning to each of the cell SERS signals; collecting patient exhalation and liquefying same by silicone oil, and supplying the liquefied patient exhalation to the SERS substrate and measuring an exhalation SERS signal, and then identifying the signal pattern of the exhalation by analyzing the exhalation SERS signal through the deep-learning result; and comparing and analyzing the signal patterns of each of the cell SERS signals with the signal pattern of the exhalation SERS signal, thereby identifying the cell SERS signal having the highest similarity to the exhalation SERS signal, and on the basis thereof, confirming whether a lung cancer cell is present or not, and notifying thereof.

A determination device includes a processor. The processor being configured to: send first information that is not conforming to a rule of a firewall to a control device, execute first determination processing in which the control device is determined to be in a malfunction state in a case in which a first notification acquired from the control device is a normal notification, and the control device is determined to be in a normal state in a case in which the first notification is an abnormal notification, additionally send second information conforming to the rule to the control device in a case in which the control device has been determined to be in a normal state, and execute second determination processing in which the control device is determined to be in a normal state in a case in which a second notification acquired from the control device is the normal notification.

The present invention relates to a battery internal short-circuit quantitative diagnosis method based on the peak height of the incremental capacity curve, comprising the following steps: 1) establishing the incremental capacity curves of the battery at different aging stages and different internal short-circuit resistance values ​​as the benchmark incremental capacity 2) Determine the relationship between the peak height of the characteristic peak in the benchmark incremental capacity curve of different aging stages and the battery internal short circuit, and obtain the battery internal short circuit resistance estimation model at different aging stages; 3) Obtain the incremental capacity of the battery to be tested online 4) Obtain the peak height of the characteristic peak in the incremental capacity curve of the battery to be tested, and compare it with the peak height of the characteristic peak in the reference incremental capacity curve of the corresponding aging stage to determine whether an internal short circuit occurs; 5) Calculate the battery short-circuit resistance of the battery to be tested according to the battery short-circuit resistance estimation model corresponding to the aging stage. Compared with the prior art, the present invention has the advantages of simple implementation, short diagnosis time, high diagnosis accuracy and the like.

The invention belongs to the technical field of fault diagnosis and fault ride-through of power electronic equipment, and relates to a sensor fault comprehensive diagnosis and ride-through method of a modular multilevel converter, which detects and faults by comparing the measured value of the current sensor on the AC output side with the reference value of the output current. Locate the fault of the current sensor on the AC output side; detect and locate the fault of the current sensor of the bridge arm by comparing the switch state of the previous control cycle, the charging and discharging of the sub-module capacitor, and the measured value of the bridge arm current sensor; The differential value of the module voltage sensor is used to detect and locate the failure of the sub-module voltage sensor. The invention realizes the fault diagnosis and fault ride-through of MMC sensors, realizes fast and accurate detection and positioning of multi-sensors and multi-type sensors on the basis of not increasing the original MMC topological structure, and can complete multi-sensors and multi-type sensors at the same time Fault ride through, so that MMC can run smoothly for a long time even in the state of sensor failure.

The invention discloses a comprehensive diagnosis method for an open circuit fault of a power tube of a three-phase three-wire inverter with two current sensors and a current sensor fault. According to the method, the output line voltage deviation and the output phase voltage deviation are used as diagnostic variables at the same time, and the faults are detected and located through two characteristic combinations of the diagnostic variables. The method realizes comprehensive diagnosis of the open circuit fault of the power tube of the three-phase three-wire inverter with the two current sensors and the current sensor fault for the first time, only existing information in a control system needs to be controlled, the calculation amount is small, the two faults can be quickly and accuratelydiagnosed without adding additional sampling and hardware circuits, and the method has the advantage of high practicability.

The invention relates to a detection kit for diagnosing tuberculosis, comprising a recombinant antigenic protein, wherein the recombinant antigenic protein is the fusion protein obtained by connecting ESAT-6 (early secreting antigen target 6KD), CFP-10 (cultufiltrate protein 10KD), and MPB64 (Mycobacterium bovis 64KD) by connecting peptides according to an arbitrary sequence, wherein the connecting peptides are short peptides which do not influence the immunogenicity of ESAT-6, CFP-10 and MPB64. Preferably, the recombinant antigenic protein in the detection kit for diagnosing tuberculosis is the antigenic protein with an amino acid sequence which is SEQ ID: No.1. When the detection kit in the invention is used for diagnosing tuberculosis, the diagnosis time is short, the diagnosis is fast, the sensitivity is strong, and the specificity is high; and the detection kit has an important significance on early diagnosis of tuberculosis.