34results about How to "Accurate Fault Diagnosis Results" patented technology

The invention discloses a state monitoring and fault diagnosis system of a gas turbine generating unit and a use method of the state monitoring and fault diagnosis system. The state monitoring and fault diagnosis system comprises a vibration monitoring module and a network module of a control system of the unit, a signal acquisition module and a computer which is provided with a LabVIEW platform, wherein a state performance signal is transmitted to the computer by the network module; the signal acquisition device is provided with a signal acquisition circuit and a signal processing circuit; a vibration signal output by the vibration monitoring module is acquired by the signal acquisition circuit, is processed by the signal processing circuit and is then transmitted to the computer; data acquisition is performed after an acquisition channel of the signal acquisition circuit is set by the LabVIEW platform; the LabVIEW platform comprises a real-time analysis module, an off-line analysis module and a fault diagnosis module; on-line monitoring and analysis are performed on the state performance signal and the vibration signal by the real-time analysis module; off-line analysis is performed on recorded data by the off-line analysis module; and fault diagnosis is performed on the unit by the fault diagnosis module. The state monitoring and fault diagnosis system is easy to operate and high in diagnosis accuracy and efficiency and can be applied to state monitoring and diagnosis of each turbine generating unit.

The invention provides a fault diagnosis device and method for a wind power current converter, and the device comprises a fault collection module which is used for obtaining a fault signal of the wind power current converter; a time sequence generation module which is used for adding a time sequence to the fault signal obtained by the fault collection module; an expert database module which is used for carrying out the fault diagnosis of the fault signal with the time sequence. The device and method can reduce or avoid the shortcomings caused by the judgment of a maintainer through experience. The device and method can sequentially analyze the fault signals according to the time sequence, so as to diagnose the fault and find the cause of the fault more accurately. The device and method can select out a representative fault signal for analysis at first according to the time sequence, thereby quickly finding out the cause of the fault.

The invention discloses a fault detection method and device for a special motor. The first rotational speed information of the first special motor is obtained; the first volume information of the first special motor is obtained; the first rotational speed information and the first volume Input the information into the first fault detection model to obtain the first fault information; obtain the first image information; if the first special motor has the first smoke point, obtain the position information of the first smoke point; according to the smoke sensor to obtain the first smoke amount information; input the position information of the first smoke point and the first smoke amount information into the second fault detection model to obtain the second fault information; obtain the third fault information; according to the first 3. Failure information, obtaining first reminder information; according to the first reminder information, reminding that the first special motor has a failure. It solves the technical problem in the prior art that the fault diagnosis in the operation process of the special motor is not accurate enough.

The invention discloses a vibrating screen fault intelligent diagnosis device and a vibrating screen fault intelligent diagnosis method using the device. The device includes an equipment hardware part and a diagnosis processing part, wherein the equipment hardware part includes a plurality of data sets arranged on the vibrating screen to be tested. A collector and a host computer signally connected to the data collector, the diagnosis processing part includes a data acquisition module integrated in the data collector and a host module integrated in the host. Through the collection of attitude data and vibration data, the invention makes the subsequent fault diagnosis results more accurate, and can diagnose the faults of key components in the vibrating screen more comprehensively and earlier, and reduce production and damage caused by component damage. equipment loss.

The invention discloses a fault diagnosis method and system of vibration equipment. The vibration equipment vibrates aperiodically and / or has an asymmetric shape, and relates to the field of equipment fault diagnosis. The method includes: respectively arranging a group of vibration sensors on the vibration equipment shell on both sides of the centroid plane, each group of vibration sensors includes a plurality of vibration sensors, each vibration sensor collects the dynamic vibration signal of the equipment, and the centroid plane is parallel to the vibration equipment base The plane where the seat is located; after analyzing the dynamic vibration signal collected by each vibration sensor, the characteristic weighted signal is obtained, and the contour characteristic signal of the vibration equipment is generated according to all the characteristic weighted signals; the contour characteristic signal is reduced based on the nonlinear manifold learning method. Dimensional processing to obtain the low-dimensional feature description of the vibration equipment; use a classifier to classify the low-dimensional feature description to obtain the fault diagnosis result. The invention effectively reduces the secondary and interference information in the original vibration data, and obtains stable and accurate fault diagnosis results.

The invention provides a method for extracting sparse features of rotating machinery fault signals. According to the fault generation mechanism of rotating machinery shock faults, an over-complete atomic library of faults is constructed; Resolution generalized S transform and normalization processing to calculate the multi-resolution time spectrum of the signal to be analyzed; calculate the maximum value of the normalized multi-resolution time spectrum, and combine with the orthogonal matching pursuit algorithm to calculate a set of most sparse It represents the atomic set of the signal to be observed; according to the sparse representation signal of the fault and the fault characteristic frequency and speed information of the equipment, the fault type is determined, and the rapid fault diagnosis of the mechanical equipment is realized. The advantages are that the complexity and search time of atomic search are greatly reduced, the efficiency of sparse decomposition is improved, and the fault diagnosis efficiency of impact faults such as cracks, pitting or spalling is improved.