44results about How to "Reliable Fault Diagnosis" patented technology

The invention discloses a method for diagnosing a main circuit fault of a power converter of a switched reluctance motor. The method comprises the following steps of: detecting a transient value of a direct current bus filter capacitor voltage of a main circuit of the power converter of the switched reluctance motor; calculating the serial variance and the power spectral entropy of the direct current bus filter capacitor voltage, which serve as fault characteristic quantities; and diagnosing an upper tube short-circuit fault, a lower tube short-circuit fault and a single-phase open-circuit fault of the main circuit of the power converter of the switched reluctance motor by adopting a serial variance curve of the direct current bus filter capacitor voltage and a power spectral entropy curve of the direct current bus filter capacitor voltage of the main circuit of the power converter of the switched reluctance motor in an overall rotating speed range. The method has the characteristics of reliable fault diagnosis, obvious effect, reduction of requirement on a sensor, high cost performance, high practicality, good effect and broad application prospect.

The invention discloses an intelligent protection system for a flexible DC distribution network based on a neural network. Power grid data acquired by each sensor distributed at a distributed power generation side, a user side and a line of the DC distribution network are transmitted to a signal acquisition module, the data are converted to corresponding digital signals, the digital signals are transmitted to a central processing unit for analysis and processing, data classification is then carried out, signal feature extraction is carried out, and information reflecting the operation state of the power grid in real time can be obtained. If a fault signal is detected, a real-time database is entered, an expert database is called to the real-time database, after a fault type is diagnosed, a corresponding measure is taken, and a tripping / closing action of the system is controlled and executed. An artificial intelligence technology applicable to a complicated system and a computer technology are combined, the neural network is introduced, the expert database is updated continuously through the algorithm, fault diagnosis on the DC distribution line is more efficient, accurate and reliable, intelligent protection for the DC distribution line is realized, and the DC distribution system is ensured to operate safely and stably.

The invention discloses a multi-information fusion fire hazard detection method, comprising the following steps: preprocessing is carried out on a fire hazard detection signal sequence obtained by site period sampling, and unreasonable data generated by normal environmental change is removed; a gray model GM (1, 1) is built according to the preprocessed original fire hazard detection signal sequence, and fire hazard detection signal data at follow-up time points is predicted, so as to obtain an equal dimensionality new information gray prediction model; the original hazard detection signal sequence is utilized to carry out posterior check on the fire hazard detection signal data obtained by prediction, so as to check whether the fire hazard detection signal data generated by prediction ongray prediction model is qualified or not; and a diagnosis neural network is utilized to diagnose the qualified fire hazard detection signal time sequence data, so as to obtain a fire hazard detection result. By means of the invention, reliable fault diagnosis can be provided and the false alarm rate of fire detection result can be reduced.

An industrial production process diagnostic system based on small wave analysis comprises industrial process object connected on site intelligent meter, DCS system and its upper position control machine with the DCS system made of data interface, control station, data base, the intelligent meter, DCS system and the upper position control machine connected sequentially, with the said upper position control machine composed of standardized handling module, small wave dissolving module, pivot element analysis function module, small wave restructuring module, support vector machine classifier module and diagnostic judging module. It also puts forward a failure diagnostic method. It provides an industrial production process failure diagnostic system and method with good diagnostic effect based on small wave analysis.

An oil drilling drill string online monitoring system and a fault diagnosis method belong to the oil drilling monitoring technology. Including PCB board, upper computer, torque sensor and acceleration sensor connected to the drill string respectively, the torque sensor and acceleration sensor are respectively connected to the PCB board, and the collected torque signal and vibration signal are sent to the PCB board, and the PCB board will pre- The processed data communicates with the host computer through the Bluetooth module. The patent of the invention has good portability, can monitor the drilling state of the drill string in real time, and can accurately and reliably diagnose abnormal conditions, so that drilling workers can take remedial measures in time and effectively prevent dangerous accidents.

The invention proposes a power grid fault diagnosis system and its method based on relay protection auxiliary decision-making system, based on the wave recording master station, by establishing a limited information interaction mechanism, and integrating the reliable advantages of the trustworthy master station in judging line faults, it maximizes the The wave recording master station has the advantage of quick response to line faults, and at the same time makes up for the shortcomings of the lack of protection action component information in the wave recording fault analysis report, and finally realizes a high degree of automation for relay protection agencies, reliable line fault judgment, and complete analysis reports. The line fault decision-making information has the ability to replace the auxiliary decision-making process of relay protection agency personnel, and directly face the direct decision-making ability of the control agency; with the assistance of the Baoxin master station, the wave recording master station has completed the confirmation and correction of the wave recording fault analysis report, supplemented The information of the protective action components is obtained, the possibility of misjudgment and missed judgment of line faults is eliminated, and the ability of reliable analysis of line faults and automatic output of decision-making to the regulatory agency is provided.

The invention discloses a method and a device for carrying out long light-emitting alarm diagnosis on ONUs (optical network units) on the OLT (optical line terminal) side in an EPON (Ethernet passive optical network) system, which relates to the field of EPON. The method comprises the steps that after receiving a long light-emitting alarm, an OLT closes an ONU automatic discovery window, and if online ONUs exist in an ODN network, the OLT records the LLID (logical link identification) index numbers of all the online ONUs, at the moment, all the online ONUs are suspected ONUs; and the OLT broadcasts to the ONUs under the ODN (optical distribution network), sends a light module light-emitting turn-off instruction, and closes the light module light-emitting of the illegal ONUs. The method and device disclosed by the invention can carry out rapid and reliable diagnosis on long light-emitting errors of abnormal light-emitting ONUs in the EPON system, and for the controllable abnormal light-emitting ONUs, the light-emitting function of a light module is closed, or a power supply of the light module is turned off, thereby reducing the influence of the abnormal light-emitting ONUs on network services; and a positioning message is outputted to uncontrollable abnormal light-emitting ONUs, thereby facilitating the maintenance of an ODN network.