40results about How to "Improve fault detection speed" patented technology

The invention discloses a unified power quality controller suitable for fault ride-through and a control method. A UPQC is connected on the two sides of a photovoltaic power station exit transformer in a bridging mode, and the amplitude of an inverter exit voltage in a high voltage failure is compensated to keep the amplitude in a rated value. The harmonic component of a network voltage is compensated through a UPQC system, the exit voltage THD of a photovoltaic grid-connected inverter is close to 0, and the failure test speed and the response speed of the photovoltaic grid-connected inverter in a photovoltaic power station are improved. Reactive compensation benefits are provided by the UPQCs under the condition the volume design of meeting high voltage ride-through with a 1.3-time rated value. When a low voltage drops, the photovoltaic power station is matched to generate reactive power, the requirement of a power grid for photovoltaic power station reactive power can be met faster, and in a high voltage failure, an APF absorbs power grid reactive power to help to restore a power grid voltage.

Embodiments of the present application provide a network equipment fault detection method and device. The packet loss rate of the network equipment is determined based on a first packet flow receivedby the network device and a second packet flow sent by the network device. Then, the fault detection threshold is obtained based on the fluctuation amplitude of the difference between the history received message flow and the history sent message flow of the network equipment. Finally, based on the packet loss rate and the obtained fault detection threshold, it is determined whether the network equipment fails or not. Compared with the prior art scheme in which the current packet traffic of the utilization port is compared with the historical packet traffic to detect whether a failure has occurred, the technical proposal of the embodiment of the present application can accurately and efficiently detect whether the network equipment fails when the network structure of the network equipmentis changed or other equipment for message transmission with the network equipment fails.

The invention discloses a fault detection method for Kalman filtering sensor information fusion. The method includes the steps of: 1. according to a Kalman filtering theory, establishing a state equation and an observation equation of a linear dynamic system; 2. according to the observation equation obtained in step 1, making use of a least square process to acquire state estimation, a corresponding mean square error matrix and an innovation sequence; 3. utilizing the known innovation sequence to acquire different channel-normalized new innovation sequences, and composing an innovation matrix of an m channel parallel sensor; 4. acquiring the spectral norms and spectral norm mean value of the innovation matrix according to the innovation matrix obtained in step 3; and 5. carrying out fault detection on the Kalman filtering sensor information fusion. The method provided in the invention adopts mathematical statistics and interval estimation, simplifies complex calculation, and substantially improves the fault detection speed.

The invention discloses a method and a device for carrying out hot backup on services, by which the service hot backup under the condition of RRU (radio remote unit) annular connection is realized quickly and effectively, and the problem of service interruption caused by that the time delay for realizing the service hot backup is long in the prior art is solved. The method comprises the following steps that: after an RRU accesses to a BBU (building base band unit), the BBU establishes a channel, and calculates and allocates a first delay measurement value and a second delay measurement value, wherein the first delay measurement value refers to a value of time delay that the RRU accesses to the BBU from a first link, and the second delay measurement value refers to a value of time delay that the RRU accesses to the BBU from a second link; after carrying out parameter configuration and cell configuration on the RRU, the BBU carries out service interaction on the first link; when determining that the first link is at fault, the BBU enables an IQ (intelligent) configuration corresponding to the first link and enables an IQ configuration corresponding to the second link; and after the RRU switches a clock from the first link to the second link and configures the time delay value from the first delay measurement value to the second delay measurement value, the BBU continues to perform the service above with the RRU.

The invention discloses a deep wavelet twin network fault diagnosis method for a modular multilevel converter. The method comprises the steps of firstly carrying out the fusion and enhancement of fault data in an MMC rectification mode and an inversion mode, enabling the data to be mapped to a low-dimensional space through the powerful feature extraction capability of a deep wavelet twin network, and carrying out the fault recognition based on the Euclidean distance, secondly, introducing incremental learning to carry out re-learning on the fault diagnosis model after MMC parameter drifting to update model parameters, and improving the generalization ability of the fault diagnosis model, and finally, building an MMC rectification and inversion simulation model, and verifying the effectiveness of the method. According to the method, the advantages of the twin network and incremental learning are combined, the fault can be rapidly diagnosed, the operation reliability of the converter is improved, and the fault diagnosis accuracy of the MMC under the condition of small sample and parameter drift is improved.

The invention discloses an inverter online open circuit fault detection method. Firstly, the two-phase current of an inverter is collected; calculating is performed to obtain the amplitude and the phase of the three-phase current at the sampling moment; calculating is performed to obtain a per-unit value of the sum of absolute values of the three-phase current at the sampling moment; the per-unitvalue is compared with a preset threshold value; whether an open circuit fault occurs is judged, if yes, fault positioning is performed according to the three-phase current. The method comprises the following specific steps: carrying out per unit processing on the three-phase current, carrying out zero-crossing one-resetting processing on the per unit current, calculating a fault positioning identifier at the sampling moment, and comparing the fault positioning identifier with a preset threshold value to realize the positioning detection of the open-circuit fault phase and the fault tube. According to the method, the detected load current is subjected to online processing for open-circuit fault detection, so that the fault detection time is shortened, and online fault detection is realized.

The invention provides a high-voltage detection circuit and a detection method thereof and belongs to the field of electric power technologies. The high-voltage detection circuit includes a current adjustment module, a first detection module and a processing module; the current adjustment module can be turned on or turned off so as to adjust current in a high-voltage circuit; the first detection module is used for providing detection signals and transmitting the detection signals to the processing module; and the processing module is used for determining whether a positive pole switch unit ora negative pole switch unit malfunctions according to the desired working state of the positive pole switch unit, the desired operating state of the negative pole switch unit, and the detection signals, wherein the positive pole switch unit includes a main positive switch, or includes a main positive switch and a main positive pre-charging switch, and the negative pole switch unit includes a mainnegative switch, or includes a main negative switch and a main negative pre-charging switch. With the high-voltage detection circuit and the detection method thereof provided by the technical schemesof the invention adopted, the speed of the detection of the faults of the high-voltage circuit can be improved, and the safety risk of the high-voltage circuit can be lowered.

A fault detection system comprises a host and an SAS expander. The SAS expander is connected with the host through an exposed SAS interface connector and comprises a microcontroller, a sideband port, a smart port and an SAS expansion chip, wherein the microcontroller, the sideband port, the smart port and the SAS expansion chip are arranged in the SAS expander, the microcontroller is connected with the SAS interface connector, the sideband port and the smart port, and the smart port is connected with the SAS expansion chip. In the normal state, the microcontroller selectively starts the sideband port to execute normal data transmission. In the fault time, after receiving a first control command sent by the host, the microcontroller starts the smart port, and after receiving a fault state reading command, the microcontroller acquires corresponding fault state information from the SAS expansion chip through the smart port and feeds corresponding fault state information back to the host. According to the fault detection system, the fault state information can be fed back to the host through the smart port in the SAS expander, and therefore the fault detection speed can be effectively increased.

The invention discloses a method of detecting operating system failures and a equipment, which is the field of operating systems. The method includes that register accumulates tasks on the CPU utilization; judging the failure of the operating system when the accumulative utilization of the register reaches to overflow value of the register and causes internal signal interruption. The equipment includes register consist of set module, records module and determine module. The invention detects failures when operating system implements every task, which improves the speed of operating system detecting failures.

A cross rod end fastening bolt loss fault detection method based on deep learning relates to the technical field of freight train detection, and aims to solve the problems of low efficiency in detecting the failure of the failure of the fastening bolt at the end of the cross bar, high labor cost and high time cost in the prior art. The beneficial effects of the invention are that: 1, a deep learning model is adopted to detect a cross rod end fastening bolt loss fault, fault detection efficiency can be improved, manpower cost and time cost are reduced, especially railway freight car images areall shot in the complex environment, a traditional image algorithm has high image requirements and certain limitations, and the deep learning detection mode can better adapt to fault detection of thecomplex images; and 2, a TensorRT acceleration optimization deep learning model structure is adopted, and a parallel detection image algorithm is designed, so that the fault detection speed is greatlyimproved, and real-time fault detection and alarm of real-time train passing of a railway can be met;

The invention provides a photovoltaic group string fault detection method and device. The current of the same photovoltaic group string in a time series is used as a judgment basis so as to reduce the false alarm rate of the fault. Meanwhile, the current deviation rate is used as the basis of fault diagnosis to effectively eliminate the transient fault caused by weather factors (such as cloud cover) and improve the accuracy of fault detection. Moreover, the high-level current (such as the total current of the bus device) is the summary of the low-level current (such as the string current) and is susceptible to other factors so that the fault detection speed can be improved by using the ascending judgment order of current. Meanwhile, the accuracy of fault detection can be improved by the mode of ascending detection of current.

An embodiment of the invention provides a DCDC power supply control method, a device thereof and a DCDC power supply protecting circuit. A non-isolated DCDC power supply protecting circuit comprises anon-isolated DCDC transforming circuit and a power supply controller. The input end of the power supply controller is electrically connected with the port of at least one side in the low-voltage sideand the high-voltage side in the non-isolated DCDC transforming circuit. The port voltage of the low-voltage side is lower than that of the high-voltage side. The output end of the power supply controller is electrically connected with a switch unit in the non-isolated DCDC transforming circuit. The DCDC power supply control method, the device thereof and the DCDC power supply protecting circuithas advantages of increasing fault detecting speed, improving fault response speed, improving shortcircuit protecting speed for the non-isolated DCDC transforming circuit and realizing suitability forshortcircuit protection of the high-power non-isolated bidirectional DCDC transforming circuit.

The invention discloses a photovoltaic array fault detection device and method, and belongs to the field of photovoltaic array monitoring. The device is mainly composed of a controller, an illumination temperature sensor, a voltage sensor, a current sensor and a relay module. Various detection values collected by the device are transmitted to an upper computer, and the upper computer establishes asuspected fault list through fault screening, selects a photovoltaic module with a suspected fault from the photovoltaic array, and removes the photovoltaic module from the array; then capacitors aremerged into the two sides of the suspected fault module, and a plurality of working point data on the characteristic curve of a module UI are collected, and the internal parameter normalization valueof the module is solved; the normalized value is input into an integrated CART classification tree model established in advance to judge the specific state of the module, and if it is determined thatthere is no fault, the corresponding module is re-connected to the system; and if a fault is judged, a fault list is established according to the fault index, so that workers can conveniently carry out maintenance. The device has the advantages of being simple in structure, relatively low in cost, rapid in diagnosis, timely in fault treatment and the like.

The invention discloses a detection method for detecting the open-circuit fault of a five-phase permanent magnet synchronous motor inverter. According to the method, the fault detection variables of all phases are calculated according to the periodic average value and the absolute average value of five-phase currents. The fault detection variables are compared with a preset threshold value and then the fault indication signal of the inverter is obtained. According to the fault indication signal, the fault detection and the fault positioning are carried out. In this way, the type of the open-circuit fault of the inverter is determined. As a result, the four types of the inverter, namely the single-tube fault, the single-phase fault, the adjacent two-phase fault and the non-adjacent two-phase fault of the inverter, can be accurately positioned. The rapid detection and the rapid positioning of the open-circuit fault of the five-phase inverter are realized. The complex coordinate transformation and additional hardware circuits are not needed, and the fault detection speed is increased.

The invention discloses a fault indicator. The fault indicator comprises an upper machine casing, a lower machine casing, a plastic thin sheet, an electric control thermal explosion pipe device, a spring device and a vibration absorption device, wherein the plastic thin sheet is embedded into the lower left end of the lower machine casing; the electric control thermal explosion pipe device and thespring device are mounted in the lower machine casing; the vibration absorption device is mounted in the upper machine casing; when a circuit system has faults and the electric control thermal explosion pipe device is exploded, a colored ribbon and the spring device are pushed to move upward; meanwhile, the plastic thin sheet is extruded and the spring device regains the elasticity to push out the colored ribbon downward, so that the working of the fault indicator is realized, the working intensity of detectors is reduced and the manpower and material resources are saved.

The invention provides an industrial equipment fault diagnosis system and method based on GA-BP-CBR, and the system comprises a GA-BP neural network module, a case-based reasoning CBR network module,a result correction module, and an output module. The input module inputs a fault training data set to the neural network module, and the GABP neural network module trains a pre-classification network. Meanwhile, CBR case reasoning is performed on the case description to form a case library file; indexes are established for the cases by utilizing output results of the trained pre-classification network, an original case library are divided into a plurality of sub-case libraries, test data are input into the trained pre-classification network during diagnosis, similar case sets are searched forin the corresponding sub-case libraries according to output of the network, and finally, the result correction module evaluates and corrects the obtained case set by referring to the output of the neural network to obtain a final diagnosis result. According to the invention, the fault diagnosis retrieval time is reduced, and the production efficiency is improved.

The invention discloses a medium-temperature and high-pressure wax preparing device. The medium-temperature and high-pressure wax preparing device comprises a primary wax emulsifying system, a primarypressurizing system, a wax emulsifying system, a secondary pressurizing system, a heat preservation medium II preparing system, a heat preservation sleeve, a wax absorbing pipe, a heat preservation medium II, a low-pressure wax outlet pipe and a paste wax outlet pipe. The module dividing and system dividing design is adopted in the provided medium-temperature and high-pressure wax preparing device, the medium-temperature and high-pressure wax preparing device comprises the primary wax emulsifying system, the primary pressurizing system, the wax emulsifying system and the secondary pressurizing system, through heating and melting of the primary wax emulsifying system, primary pressurizing of the primary pressurizing system and the primary pressurizing and melting state of the wax emulsifying system, and the medium-temperature and high-pressure wax is finally obtained through secondary pressurizing. The provided machine can manufacture a large amount of medium-temperature and high-pressure wax for a die, and the production efficiency is improved. A heat preservation device is adopted in the disclosed machine in the whole preparing process, unnecessary heat losses are avoided, meanwhile, the machine shutdown cleaning frequency is reduced, the production efficiency is improved, and the service life of the machine is prolonged.

The invention discloses an online monitoring system for partial discharge of a high-voltage cable. The online monitoring system involves a terminal acquisition module, a network transmission module, adata management module and a user visual module, wherein the terminal acquisition module is connected with the network transmission module, the network transmission module is connected with the datamanagement module, and the data management module is connected with the user visual module. According to the online monitoring system, through cooperation between a terminal acquisition module sensorgroup and a distributed partial discharge acquisition terminal, efficient acquisition of data is completed, and the fault detection speed is accelerated; through the use of a wireless transmission technology of the network transmission module, the data transmission rate is greatly improved; through application of a central server of the user visual module, online monitoring is realized, so that adetection interface is more user-friendly; and a WeChat applet is developed at the mobile terminal of the user visual module, so that high sharing of information is realized.

The invention provides frequency conversion equipment. The frequency conversion equipment is used for performing fault diagnosis on frequency conversion driving on the basis of switching characteristics of an IGBT switch and different gate driving charges of capacitance distribution in a gate charging and discharging process of the IGBT switch. Specifically, in a turn-on transient stage, a turn-on steady-state stage, a turn-off transient stage or a turn-off steady-state stage of the IGBT switch, the variation of the gate driving charges of the parasitic capacitance of an IGBT power module is acquired; the fault condition of the IGBT power module is judged through the variation of the gate driving charges, so that the problem of signal fluctuation caused by direct sampling of gate current can be avoided, misoperation caused by signal fluctuation can be avoided, the fault detection speed is increased, and therefore, the speed of protection for a device can be increased; the detection mode is not sensitive to the temperature characteristic of the device, and the influence of the temperature on a detection circuit can be reduced.

The invention discloses a fault detection circuit for an air conditioner compressor. The fault detection circuit comprises a compressor driver and a detection circuit connected with a three-phase output terminal of the compressor driver; and the detection circuit comprises a first light-emitting circuit, a second light-emitting circuit and a third light-emitting circuit, the first ends of the first light-emitting circuit, the second light-emitting circuit and the third light-emitting circuit are correspondingly connected with one corresponding phase of the three-phase output terminal, and thesecond ends of the first light-emitting circuit, the second light-emitting circuit and the third light-emitting circuit are mutually connected. According to the fault detection circuit for the air conditioner compressor, the three-phase voltage phase sequence of the compressor driver is utilized, the three-phase output end is externally connected with the detection circuit, maintenance personnel can visually and rapidly confirm whether the compressor driver breaks down or not according to the light-emitting conditions of the three light-emitting circuits of the detection circuit, the fault detection speed of the air conditioning unit for the compressor and the driver is increased, problems do not need to be confirmed by replacing parts, the part replacing time is saved, and the detection efficiency is improved.

The invention discloses an inverter online open-circuit fault detection method. Firstly, the two-phase current of the inverter is collected, and then the amplitude and phase of the three-phase current at the sampling time are calculated, and then the three-phase current at the sampling time is calculated based on the method. The per-unit value of the sum of the absolute values ​​of the current, compare this per-unit value with the preset threshold to determine whether an open-circuit fault occurs, and if it occurs, perform fault location based on the three-phase current. The specific method is to perform a per-unit Then perform zero-crossing and “one” processing on the unitized current, calculate the fault location identification at the sampling time, compare the fault location identification with the preset threshold, and realize the location detection of the open circuit fault phase and the fault tube. The invention performs on-line processing on the detected load current to perform open-circuit fault detection, reduces fault detection time, and realizes on-line fault detection.

The invention provides a DC line fault detection method and device. Firstly the current fault component of a DC line is determined, then the current fault component energy of the DC line is calculated, and finally the fault of the DC line is judged according to the current fault component energy of the DC line so that finally fault detection of the DC line is realized. The current fault componentof the DC line is determined through different moments of current of the DC line so that the influence of the load component on the fault detection sensitivity can be eliminated, and fault detection of the DC line is performed only through the current fault component energy of the DC line without the influence of disconnection of the voltage transformer. Besides, continuous increasing change of the fault feature is realized so that the fault detection speed of the DC line can be enhanced and the sensitivity of fault detection can also be enhanced.

Embodiments of the present application provide a DCDC power supply control method and device, and a DCDC power supply protection circuit. The non-isolated DCDC power supply protection circuit includes a non-isolated DCDC conversion circuit and a power controller; the input terminal of the power controller is electrically connected to at least one port of the low-voltage side and the high-voltage side in the non-isolated DCDC conversion circuit, and the low-voltage side The port voltage of the high-voltage terminal is lower than that of the high-voltage terminal; the output terminal of the power controller is electrically connected with the switch unit in the non-isolated DCDC conversion circuit. The embodiment of the present application can improve the fault detection speed and the response speed to the fault at the same time, thereby improving the short-circuit protection speed of the non-isolated DCDC conversion circuit, and is applicable to the short-circuit protection of the high-power non-isolated bidirectional DC-DC conversion circuit.