43results about How to "Realize online fault diagnosis" patented technology

The intention discloses a converter transformer fault online diagnosis method based on three-sensor reasoning, and belongs to the technical field of ultra-high voltage direct-current power transmission device fault diagnosis. The method includes the steps of obtaining online data of a converter transformer by using online detection instruments, including the ultra-high frequency detection instrument, the broadband pulse detection instrument and the transient earth voltage (TEV) detection instrument, which can be obtained on projects at present as three sensors; calling the actually-measured online data of the converter transformer to achieve fault diagnosis, wherein effective discharging information is extracted from the actually-measured online data of the converter transformer, three types of sensor characteristic space are established, the fault diagnosis results of the three types of sensor characteristic space are obtained, the differences and similarities of the fault diagnosis results are judged, the diagnosis results are finally output, reasoning is conducted on data of the three sensors, and the final diagnosis results under the condition are obtained. By means of the method, the converter transformer fault diagnosis accuracy is effectively improved, and the online diagnosis of the transformer converter fault is achieved.

The invention belongs to the technical field of safe operation of TBM hobs, and discloses a TBM hob state monitoring and fault diagnosis method and system. The system includes a signal acquisition module, a signal transmission module and a host computer; the signal acquisition module is installed on the TBM hob On the cutter head, it is used to collect the vibration signal of the main bearing of the cutter head and the current signal of the main motor, and convert the collected signal into a digital signal that can be transmitted; the signal transmission module is used to realize the communication between the signal acquisition module and the host computer Transmission to transmit digital signals to the host computer; the host computer is set up in the TBM main control room to receive the signal transmitted by the signal transmission module, and process and analyze the received signal to obtain the current operating status of the cutterhead and TBM hob and fault status; in summary, it can effectively realize the real-time monitoring and diagnosis of the TBM hob, and also effectively avoid the problems of acquisition signal distortion and mixed signal background, thus greatly improving the accuracy of monitoring and diagnosis.

The invention relates to a distributed intelligent motor monitoring system. The system includes on-site low-level intelligent monitoring sub-stations, high-level intelligent monitoring general stations, and modular system application software for data collection and information processing to realize motor monitoring functions. Among them, the monitoring sub-station is connected to the motor at the corresponding position, and is composed of an intelligent monitoring module including monitoring instruments, meters, and data collectors. The intelligent monitoring general station is composed of a computer that realizes centralized processing of motor information and intelligent monitoring. interconnected by a data communication network. Through this system, the real-time collection and local / remote monitoring of various parameters of a single or multiple motors, motor operating status identification and fault diagnosis functions can be realized. Not only can it be used as special equipment for factory testing and type testing of motor manufacturers, but it can also be widely used in real-time monitoring or online fault monitoring of motors in metallurgy, chemical, petroleum, pharmaceutical and other industrial sectors.

The invention discloses an online fan opening and efficiency calculation method based on the fan performance curve. The method obtains the actual operating parameters of the fan based on the fan online monitoring system, including fan inlet volume flow Q, fan specific pressure energy Y, and fan efficiency η and the fan opening β; the fan design performance curve is discretized to obtain the fitting relational expression; based on the fan actual operating parameters and the fan design performance curve fitting relational expression, calculate the relative position of the fan operating point on the fan design performance curve, including the fan The equal opening line or equal efficiency line interval where the operating point is located, the minimum distance from the operating point to each opening line or equal efficiency line in the interval; based on the linear interpolation method, the corresponding fan operating point on its performance curve is calculated. The opening value and efficiency value. The invention has the characteristics of high efficiency, high precision and strong robustness, and is suitable for the online monitoring and diagnosis system of the three wind turbines of the large coal-fired unit.

The invention provides an intelligent leakage detection system of a servomotor of a water turbine and a method thereof and belongs to the technical field of the leakage detection of the servomotors of the water turbines. According to the technical scheme, the intelligent leakage detection system of the servomotor of the water turbine comprises a sensor set connected with the servomotor. The sensor set is connected with an upper computer with a fault diagnosis function through a data acquisition card to form a data transmission channel. The upper computer is connected with a hydraulic station through a PLC to form a control loop. The intelligent leakage detection system of the servomotor of the water turbine has the beneficial effects that the intelligent leakage detection system and method are adopted, the on-line detection of the servomotor on the spot is achieved, the defect that a hydraulic servomotor can only be dismounted to be subject to the leakage analysis is overcome. Meanwhile, the intelligent leakage detection system and method provides an intelligent computer detection method, thereby getting rid of the defect of traditional artificial and unaided eye detection.

The invention relates to an inverter power tube open circuit fault diagnosis method in a permanent magnet synchronous motor control system. According to the method, a differential current state observer is designed based on a voltage balance equation to estimate the ideal differential current of the permanent magnet synchronous motor, and the distortion amount of the motor differential current isestimated by combination of the measured value of the differential current; and then a corresponding fault detection and positioning algorithm is designed according to the distortion rule of the motordifferential current caused by faults, so that the rapid and accurate on-line fault diagnosis of the circuit fault of the inverter switch tube is realized. The method has the advantages of being highin anti-jamming capability, strong in robustness, high in detection speed, high in detection accuracy and the like. In addition, the method can also be suitable for motor speed stabilization and speed change stages, and is suitable for two different modulation modes (a spatial voltage pulse width modulation mode or a carrier-based pulse width modulation mode). Therefore, the method is a universalvoltage source type inverter single switch tube open circuit fault diagnosis method.

The invention discloses a method for testing the initial position angle of a motor rotor, which solves the technical problems of high requirements for testing conditions for the initial position angle of the motor rotor and difficult actual operation in the prior art. The method includes the following steps: Step 1, firstly, a current i is given to the motor to be tested to make the motor run; Step 2, after the motor runs, the current i is set to zero, that is, i d =0 and i q =0; Step 3, read the voltage u of the motor stator d-axis and q-axis in the converter at this time d , u q ; Step 4, according to u d , u q The trigonometric function relationship between the calculation obtains the initial position angle deviation θ of the motor rotor err . The invention uses the d-axis and q-axis voltages of the motor stator to directly calculate the initial position angle deviation of the motor rotor; the corresponding relationship between the motor terminal voltage and the initial rotor position angle in the motor controller is clarified; the method is simple and suitable for engineering field operations; Fault diagnosis and error correction control to improve system functional safety.

The invention relates to a magnetic levitation train speed and distance measuring system. The magnetic levitation train speed and distance measuring system comprises a plurality of induction proximityswitch sets arranged at the bottom of a train, speed and distance measuring control boxes arranged in train-mounted equipment cabinets at the activated end and the non-activated of the train, digitalservo acceleration sensors arranged at the bottoms of the speed and distance measuring control boxes for detecting the acceleration of the train, induction proximity switch detection objects, and speed and distance measuring control units arranged in the speed and distance measuring control boxes at the two ends of the train; and the speed and distance measuring control units are connected with the digital servo acceleration sensors and the induction proximity switch sets correspondingly, and metal sleepers parallelly distributed on a rail serve as the induction proximity switch detection objects. Compared with the prior art, the magnetic levitation train speed and distance measuring system has the advantages of low cost, accurate measuring, high environmental adaptability, small measuring error, high anti-jamming ability, high usability, reliability, safety and the like.

The invention discloses an automatic fault diagnosis system based on fault model trigger. The system comprises a sensor, a fault model, a fault classifier and a fault grade evaluation module. The sensor acquires vibration acceleration signals of all components of equipment to be detected; corresponding component types, component fault feature frequency and corresponding component fault codes including the component types and the component fault feature frequency are stored in the fault model, and when frequency components matched with the component fault feature frequency exist in the vibration acceleration signals, the component fault codes are sent to the fault classifier, and a start signal is sent to the fault grade evaluation module; the fault classifier is used for classifying the component fault codes, searching for corresponding fault type information and outputting the fault type information serving as a fault type diagnosis result; and the fault grade evaluation module is used for calculating vibration intensity according to the vibration acceleration signals after the start signal is received and evaluating the fault grade to obtain the fault grade diagnosis result. According to the automatic fault diagnosis system, the fault diagnosis efficiency of wind turbine generators and other equipment can be improved.