143 results about "Power transform" patented technology

A system and method for visually displaying and analyzing criminal and / or public health and safety data for geospatial and / or time variations, including the collection of incident data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and / or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method and displaying the result to a user via a visual analytics arrangement.

A heating assembly, including a blanket portion and a control apparatus for electrically heating the blanket portion. The control apparatus generates direct current power of desired wave form to enable the assembly to be used for warming patients without interference of medical equipment as may be used in the process of a surgery. Alternate power sources include battery power and alternating current power transformed by a transformer into direct current power.

This invention discloses a piezoelectric generation method by using road surface vibration energy, which lays piezoelectric devices inside the road or uses them as the as the road components directly and utilizes the vibration energy to generate electric energy provided to road lamps or other road installations or energy storage devices and electric nets. The system includes: a piezoelectric device a power transforming energy generated by the piezoelectric devices to be stored in an energy storage devices, road lamps or an energy storage device, said piezoelectric device is connected with the transforming device, which is connected with lamps and energy storage device.

The invention discloses a hybrid powered electric automobile energy management method based on comprehensive energy flow, which belongs to a technical field of environmental protection and energy conservation of vehicles. The system consists an electric controlling unit, a signal collecting and processing system connected with the electric controlling unit, a controlling signal outputting system, a communication controlling system of a CAN bus, a communication controlling system of serial ports, and a DC / DC power transform circuit module which is connected with each system. According to automobile running process parameters detected by each sensor, the electric controlling unit of the system calculates power required by an air conditioning compressor, a cooling fan of an engine, a power steering system and a brake system of the compressor, and then converts the power into torque additionally required by the engine; according to distribution management of driving energy of a parallel hybrid system, the system fully considers the energy consumption of fittings of the automobile, keeps the driving energy distribution more reasonable during the running process of the hybrid powered electric automobile, improves the economical efficiency of fuel of the entire automobile and obtain good engineering practical value.

The invention discloses a stored energy type standard-Z source photovoltaic power generation control system and method. The control system comprises a controller and a stored energy type standard-Z source inverter, wherein the controller comprises a capacitor voltage outer ring and a stored energy battery current inner ring and is used for regulating the direct-connection duty ratio of the inverter, thus the voltage of a DC (direct-current) bus can be constant, although the photovoltaic cell voltage is changed in a wide range; and the output power of the inverter is controlled by a power ring, and the output power of photovoltaic cells and the inverter is controlled so as to carry out charge-discharge management on stored energy batteries, thus realizing maximum power tracking. According to the invention, single-stage power transform is used to complete boosting, reduction voltage, inversion and energy storage, so that a simpler structure is used to realize minimum inverter capacity, thus ensuring the voltage of the DC bus to be constant and a power grid to obtain stable power, thereby maximally collecting solar energy and improving generating efficiency.

The invention discloses a power transformer state evaluate method and apparatus based on data fusion. The method comprises the following steps: selecting a state evaluation variable of an operation state of a power transformer, and determining an initial value and a threshold; performing normalization processing on the state evaluation variable through combination with a relative deterioration degree formula so as to obtain a normalization parameter; based on a fuzzy theory, obtaining a state quantity membership grade of the normalization parameter at each power transformer state grade; through a hierarchy analytical method, obtaining a weight of the state evaluation variable in each sub evidence body; according to the state quantity membership grade and weight of the state evaluation variable, obtaining each power transformer state grade membership grade of each sub evidence body; and through a Dempster-Shafer evidence theory, fusing the different sub evidence bodies, determining that the operation state of the power transformer is a normal state, an attention state, an abnormal state or a severe state. According to the method, the real-time operation state of the power transformer can be more comprehensively analyzed, and the reliability of a determining result of the real-time operation state of the power transformer is effectively improved.

The disclosure discloses a fault locating method based on a multi-layer evaluation model. Firstly, determine a fault type to be inspected and a fault symptom which able to accurately and effectively reflect a power transformer operation status and determine a weight of each fault type by using an association rule and a set pair analysis. Then, establish a DBN model to perform feature extraction and classification on multi-dimensional data of a fault. Finally, perform a comprehensive evaluation on an existing diagnosis result by using the D-S evidence theory. Accordingly, the supporting strength of the common target is reinforced, while the influence of divergent targets is reduced. As a result, the uncertainty in the diagnosis result is significantly reduced. The disclosure is mainly used to monitor and diagnose a status variable of the power transformer in a real-time manner, and treats power transformer status evaluation as a multi-property decision issue.

Improvements in a power transformer condition monitor are disclosed with this application. The monitor operates with older existing transformers with and without integrated sensors and allows the device to determine the condition of transformers. The sensors monitor one or a multiple of voltage, current, temperature and or power factor. Thermal sensors are magnetically attached to the exterior of the power transformer. Voltage and current sensors are connected to the primary and secondary conductive wires. The monitor can be parasitically powered to operate with limited battery size. The only use of batteries or storage capacitors is when the supply voltage is lost. The monitor uses a localized board can have a large plurality of inputs for sensors. This allows multiple transformers to be locally connected to the monitor and thereby reduce the number of different communication devices and communication addresses over a Mesh, GPRS Cell network link network.

The invention discloses a power transformer service life analysis method and a power transformer service life analysis system based on risk evaluation. The method comprises the following steps that a main fault mode of a power transformer is determined; a fault tree of the power transformer is built; a fuzzy judging matrix is built; the severity weight vector of each fault factor of each component is obtained; the fault occurring probability and the reliability of each part and the whole of the power transformer are obtained; an aging model of the power transformer is built; the age limit of the power transformer in each service life stage is determined. The system comprises a fault mode determining unit, a fault tree building unit, a matrix building unit, a weight vector obtaining unit, a reliability obtaining unit, an aging model building module and a service life analysis unit. The method and the system provided by the invention have the advantages that when the fuzzy judging matrixes are not consistent, the risk evaluation of the transformer can also be carried out, so that the practicability is improved; the service life analysis is carried out on the basis of the risk evaluation, and the reliability of the service life analysis is improved.

To encode image and video data using a transform having low computational complexity and high compression efficiency, all elements of the matrix can be expressed with power-of-2 elements, with a template of the matrix approximating a DCT matrix.

The invention provides a transformer fuzzy comprehensive evaluation method based on a variable weight. The method includes following steps: collecting state data according to a pre-established transformer state comprehensive evaluation index system, and performing dimensionless standardization processing on evaluation indexes; determining a constant weight by employing an analytic hierarchy process, and performing variable weight processing on a constant weight vector with the combination of an evaluation index set obtained after standardization processing; establishing a power transformer state grade remark set; determining a fuzzy comprehensive evaluation matrix according to the membership degree of the bottom layer in a membership function calculating evaluation model for the state grade, calculating an evaluation result, and obtaining the overall state of the transformer by employing a fuzzy comprehensive evaluation operator; and obtaining the membership degree of each state for the fuzzy comprehensive evaluation, and determining the operation state grade of the transformer by employing a maximum membership degree principle. According to the method, the change of the weight value of the quantity of state is realized according to the practical state index so that the influence of the quantity of state with large deterioration degree on an evaluation target is increased, and the state evaluation is more reasonable.

Device and method for driving a liquid crystal display device where a driving voltage level is varied with the temperature of an operating environment of the liquid crystal display device to improve display quality. The device includes a liquid crystal display panel, gate and data drivers for driving gate and data lines of the liquid crystal display panel, a timing controller for controlling the data and gate drivers, a power source unit for transforming an external power into a rated voltage level required for driving the liquid crystal display device and forwarding the power, and a driving voltage generating unit for adjusting a voltage level of the power transformed thus in conformity with an environmental temperature to generate a positive polarity driving voltage and using the driving, voltage for generating a plurality of driving voltages required for driving units, including the liquid crystal panel, the gate driver and data driver.

The invention publishes a light bend combined network transformation installment which based on the Z source power transformation, including: the power transform main return route, the DSP observation system and the IGBT actuation module, the DSP observation system is used in sampling of the voltage, the electric current signal, and operates to obtain the PWM signal sequence with the adjustable pulse width, again transforms the IGBT actuation module into the direct drive IGBT signal, the power transform main return route includes the solar cell array, the Z source impedance network, the contravariant network and the filter reactor, the two out-ports of the solar cell array separately connects with the two input end of the Z source impedance network, the two out-ports of the Z source impedance network separately connects with the two input end of the contravariant network, a out-port of contravariant network connects to a end of filter reactor, a end of the filter reactor is used to connect the end of the electrical network, the another out-port of the contravariant network is used to connect the another end of the electrical network directly, the direct drive IGBT signal which is transformed by the above IGBT actuation module is used in realizing the contravariant network lead and shutdown.

A dynamic performance test method of a vehicle electric driving system belongs to the technical field of electric automobiles. A vehicular motor output shaft is connected and coaxial with a load motor output shaft, when in driving, power of a driving system is transmitted from a vehicular motor and a load motor to be transformed into electric energy to be stored in a super capacitor or consumed on a resistance box, when in braking, energy is transmitted from the super capacitor to be consumed by the resistance box and then fed back to a battery pack via the load motor and the vehicular motor, and then running of the load motor is controlled and actual load torque is simulated, further, a load simulation controller computes power consumed by driving resistance and power transformed to vehicle power according to current circulating speed, vehicle parameters and road conditions and controls resistance of the resistance box, namely controlling energy consumed by the resistance box to be equal to energy consumed by driving resistance. The dynamic performance test method of a vehicle electric driving system can be used for research on the driving control strategy individually and research on the braking control strategy, and simultaneously can be applied to research on the total vehicle control strategy more conveniently.

An energy effective switching power supply apparatus and an energy effective method thereof. The energy effective switching power supply apparatus includes a power transforming part having first and second coils to induce a voltage to the second coil using interactions between the first and the second coils with respect to the input voltage, a power outputting part to output a sensing signal when it is determined that a first DC voltage output by rectifying and smoothing the voltage induced to the second coil is greater than or equal to a reference voltage level, and a switching controlling part to adjust a switching frequency of a switching device to interrupt a current flowing in the first coil of the power transforming part when the sensing signal is received. Accordingly, a switching loss is controlled and an energy loss is reduced.

The invention discloses a power transformer state evaluation method based on multi-source data fusion. The method comprises the following steps: constructing a power transformer state evaluation indexsystem; on the basis of a fuzzy comprehensive evaluation method, calculating a membership function matrix P(X) of each index group by adopting a membership function combining a semi-trapezoid and a semi-ridge shape; determining optimal original weight distribution of each index based on the sum of squares of deviations according to the subjective and objective weights of each index to obtain a fuzzy comprehensive evaluation result; taking the fuzzy comprehensive evaluation result as a sub-evidence and substituting into the D-S evidence model for fusion, wherein the evaluation index system comprises the in-oil dissolved gas test index group, the insulating oil test index group and the electrical test index group. According to the design, the transformer state can be accurately and objectively evaluated, and the operability is high.

The invention discloses a piece goods blemish detecting method based on morphological analysis. The piece goods blemish detecting method comprises the steps that a line-scan digital camera is used for conducting image collection on piece goods in motion, the distance of adjacent tissue points of the piece goods is obtained by conducting basic brightness stretching and binaryzation processing on gray level images of the piece goods, and the distance serves as the reference value of the size of structural elements; then, morphological close operation is conducted, filling is conducted on common weaving point gaps, the number of the weaving points at a blemish position is small and the weaving points at the blemish position are irregular, so that the weaving points stand out in brightness; at least, binaryzation processing is conducted on the images, determining of the threshold of the images is controlled through gamma training selecting of gray level power transform, blemished binary images are counted and marked, blemish information is output, and the blemish detecting process of the piece goods is completed. The piece goods blemish detecting method based on morphological analysis is more accurate and simpler in structure, and improves the calculation speed; can weaken the interference of background brightness unevenness; brings convenience to realization of automatic detection.

The invention belongs to the field of power system operation assessment and monitoring, and provides a power transformer operation state assessment method under measurement big data. According to themethod, the transformer temperature rise is judged by using the transformer state operation parameter and the transformer output load so as to calculate the transformer winding temperature; then whether the transformer is in the fault operation state is judged by using the transformer winding temperature; and the transformer structural parameters are calculated through the transformer mathematicalmodel so as to judge the reason of the transformer problem. The fault maintenance problem of the enclosed transformer can be effectively solved, the power transformer fault can be discovered in time,and normal operation of the transformer can be guaranteed and stable operation of the power system can be maintained by applying the measurement big data.

A cycle modulation circuit for limiting voltage peak value of a power supply employed an active clamp. The power supply receives an input power which is modulated through a power driving unit to become a driving power transformed through a transformer to be output. The cycle modulation circuit includes a comparison unit and a linear voltage generation unit. The comparison unit receives the input power to generate a level signal which is used as a base value to compare level with an oscillation signal generated by the linear voltage generation unit, thereby to modulate and output a pulse width limit signal with a composite cycle consisting of a high level and a low level. The pulse width limit signal is input to the power driving unit to limit the peak value of the driving power modulated by the power driving unit.

Disclosed is a power transformer insulation aging state assessment method based on a frequency domain Cole-Davidson model. The method comprises the following steps: 1), carrying out wiring according to instrument instructions; 2), setting parameters; 3), ending testing, and obtaining a frequency domain characteristic parameter fp through spectrum solution; 4), according to the frequency domain characteristic parameter fp and an oil paper insulation temperature T, introducing into a specified formula, and calculating and determining an insulation aging state, i.e., a DP value; and 6), when the average polymerization degree of oil impregnated paper is deceased to 500, determining that the overall insulation of an oil paper insulation electric power device is at a mid-life state; when the average polymerization degree is decreased to 250, determining that the life of the oil paper insulation electric power device is already terminated; and when the polymerization degree is decreased to 150, determining that the mechanical strength of the insulation paper is zero. According to the invention, core suspension is eliminated, insulation materials are not damaged, sampling is unnecessary, the insulation paper average polymerization degree DP value can be accurately assessed, and the oil paper insulation aging state is determined.

A power transformer state evaluation method is provided. The transformer is evaluated by the following steps: selecting an evaluation parameter, establishing a power transformer evaluation parameter system and collecting relevant parameter data; using the KLEE method to calculate the relative importance between the parameters, and then obtaining the weight of each parameter; establishing a collection of comments; finally determining the state level of the power transformer through the cloud model. The invention is applied to the technical field of power transformer state evaluation, and remedies the defects of existing transformer state evaluation methods, which are computationally complex and unable to achieve a balance between ambiguity and randomness, thereby improving the accuracy and objectivity of the transformer evaluation. The evaluation calculation is simple, and the subjective and objective aspects are taken into consideration.

A power line communication (PLC) device, which is electrically connected with a power line, a power transforming device and an electronic device, includes a transmission element, a power transmitting element and a data transmission element. The transmission element is electrically connected with the power line for receiving a power source and communicating a data through the power line. The power transmitting element, which is electrically connected with the transmission element and the power transforming device, transmits the power source to the power transforming device, so that the power transforming device generates a work power to the electronic device. The data transmission element is electrically connected with the transmission element and the electronic device for transmitting the data to the electronic device.

The invention discloses a power transformer state monitoring data cleaning method, comprising the following steps: establishing a stack noise reduction auto-encoder for monitoring data of gas in oil of the oil-immersed power transformer; performing stacking and fine adjustment processing after training each auto-encoder in the stack noise reduction auto-encoders one by one, so as to obtain a finalstack noise reduction auto-encoder data cleaning model; and finally inputting monitoring data of gas in oil of the oil-immersed power transformer into the stack noise reduction auto-encoder data cleaning model for processing to achieve the purpose of reducing noise of original data. According to the power transformer state monitoring data cleaning method, a data cleaning model is established on the theoretical basis of a stack noise reduction auto-encoder; compared with a traditional data cleaning mode based on a statistical method, the power transformer state monitoring data cleaning methodgets rid of constraints of data indexed evaluation standards from data essential characteristics, can well eliminate data noise, and provides reliable monitoring data for equipment state evaluation, equipment service life prediction and other work.

The invention provides a power transformer noise control method based on an inverse control technology. The power transformer noise control method based on the inverse control technology comprises the steps that noise signals generated by a noise source of a power transformer are collected through a primary sensor and are regarded as reference signals of a control system; error signals generated through the superposition of noise reduction signals and the noise signals are collected through an error sensor; the control system establishes a secondary sound channel model for a secondary sound channel through an adaptive modeler according to the error signals, simulates the process that the noise reduction signals generated by a secondary noise reduction source are transmitted in space and obtains sound signals of a simulation secondary sound source; the control system carries out inverse modeling on the secondary sound channel through the adaptive modeler according to the error signals, and the secondary sound channel is connected with the secondary sound channel model in series in the control system; the sound signals equal to the reference signals in amplitude are obtained through calculation, and inverting processing is carried out on the sound signals to obtain control signals controlling the secondary noise reduction source; the noise reduction signals are output according to the control signals. The power transformer noise control method based on the inverse control technology can effectively control low-frequency noise of power transformers.

The invention relates to a power transformer temperature rise monitoring device and monitoring method, comprising a high-strength aluminum alloy shell, a high-speed and stable single-chip microcomputer, an A / D analog-to-digital conversion circuit, a large-capacity switch output, a reference voltage input device, and a communication interface circuit , CPU operation monitoring circuit, large-screen Chinese touch screen interface, high-efficiency micro-switching power supply, multiple selection switch connected with this A / D analog-to-digital conversion circuit, power transformer oil temperature sensor connected with this multiple selection switch. The invention utilizes the fast and accurate data processing capability and reliable communication function of the high-performance single-chip microcomputer to exchange data in real time through the RS485 communication interface circuit and the RS485 interface of the upper computer. The data obtained by real-time communication is compared with the standard curve of the database to determine whether the temperature rise of the transformer is abnormal, and at the same time compared with the stored set value, so as to control the start and stop of the transformer fan. It has the functions of temperature rise comprehensive data analysis, alarm, remote transmission and so on.

The invention discloses a one-dimensional convolutional neural network ground radar target classification method based on fusion features. The method comprises the following steps: preprocessing radarecho data samples in a training sample set and a test sample set, obtaining an amplitude spectrum and a power spectrum of echo data through FFT, performing power transformation on the amplitude spectrum, and taking three groups of feature vectors as three channels of feature input; determining a one-dimensional convolutional neural network architecture, and sending the extracted three-channel features to a full connection layer; performing classifying by utilizing a softmax classifier, and performing calculating to obtain an error between an output prediction label and a real label; correcting the network weight coefficient by using a gradient descent method until the maximum number of iterations is reached, extracting the corresponding network weight coefficient, and determining a finalclassifier model; and sending a to-be-identified test set radar echo sample into the classifier obtained by training to finish target classification. The method has fewer parameters, and can efficiently and accurately finish target classification.

The invention discloses a power transformer state evaluation method based on a rough set-cloud model. The method comprises the following steps: (1) collecting the state quantity data information of a sample transformer; (2) processing the state quantity data by utilizing a cloud model; (3) calculating the weight of the state quantity by utilizing a rough set; (4) determining a state interval score of the state quantity, and calculating the integral score of the power transformer; (5) establishing a cloud model of the state interval score of the power transformer; and (6) according to the interval score of the power transformer and the cloud model of the cloud model of the state interval score, determining a state level of the power transformer. The power transformer can be subjected to state evaluation, and an evaluation process is reasonable, and a result is visual, accurate and reliable.

The invention discloses a transformer fault control method which comprises a power transformer peripheral circuit detection sub-method and a power transformer inner portion detection sub-method. The power transformer inner portion detection sub-method further comprises a neural network fault diagnosis step. In a power transformer inner portion detection subsystem, a neural network learns sample sets from the input to the output, so that the mapping relation between the input to the output is realized, minimum operation is achieved and meanwhile, the nonlinear mapping relation between fault phenomena and reasons can be established, any continuous mode pair (Xk, Tk; k=1, 2,..., m) can be stored, and the mapping from the input {Xk} to expected output {Zk} can be finished. By utilizing the integration method and by utilizing the fuzzy diagnosis technology, the unavoidable misjudgement problems of diagnosis errors or incomplete diagnosis results caused when a single transformer fault control method is utilized to carry out diagnosis are effectively reduced.