Diagnostic method and device of train bearing failure
A diagnostic method and bearing technology, applied in the direction of measuring devices, mechanical bearing testing, testing of mechanical components, etc.
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Embodiment 1
[0136] The processing flow of a kind of subway train bearing fault diagnosis method provided by the embodiment of the present invention is as follows: figure 1 As shown, the following processing steps are included:
[0137] Step 1: Use the vibration sensor to collect the vibration data of the subway train bearing and the vibration data of the frame, and use the vibration of the frame as the background vibration signal of the bearing vibration.
[0138] In the embodiment of the present invention, the vibration sensing unit is a device for detecting vibration acceleration, which can convert the measured information into electrical signals or other required forms of information output according to certain rules, and perform simple wavelet denoising, To meet the requirements of information transmission, processing, storage and display.
[0139] The vibration sensing unit adopts a dual-coordinate vibration sensor, which is installed on the axle box bearing and frame side frame of ...
Embodiment 2
[0196] The structural representation of the train bearing fault diagnosis device provided by the present invention is as follows: image 3 As shown, it includes a vibration sensing unit, a signal processing unit, a fault diagnosis unit and a result display unit connected in sequence. Above-mentioned train can be subway train, track train etc.
[0197]The vibration sensor unit is used to collect the vibration data of the train bearing and the frame through the vibration sensor, and obtain the bearing signal according to the vibration data of the train bearing and the frame;
[0198] The signal analysis unit is configured to analyze and process the bearing signal to obtain time-domain characteristic parameters and frequency-domain characteristic parameters of the bearing signal;
[0199] The fault diagnosis unit is used to solve the fault state information of the bearing by using a fault classification algorithm based on the time domain characteristic parameters and frequency d...
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