The Formation Of Locomotive — The formation of locomotive rotating bearing fault and diagnostic methods

Bearing fault detection diagnosis
At present domestic adopt bearing fault detection approach roughly measure temperature, BEST TIMKEN Bearing http://www.bearing-us.com/TIMKEN-Bearings.html noise and vibration parameters of the method, using the method of noise measurement temperature, simple, but the lack of effective preventive action,

once in the running high bearing temperature and noise is very big, is generally thought that the locomotive bearing has reached to more serious damage. And by using the method of measurement of vibration parameters, is when the

locomotive in the minor repairs to test the bearing, because in the detection and gathering information is convenient and simple, more suitable for long period o[censored]se, is a kind of both simple and practical detection method.
3.1 the locomotive bearing diagnosis method
Method of locomotive bearing there are two main types: (1) the simple diagnosis of locomotive bearing, (2) the locomotive bearing technology of resonant demodulation spectrum analysis[protected] the precision diagnosis.
3.1.1 simple diagnosis, it is in the vibration detection by testing is usually something the size of the vibration parameters, compared with standard (threshold value) to determine the status of the bearing, in the simple diagnosis of

the locomotive bearing, mainly choose the time domain wave kurtosis coefficient parameters of KV, , , , acceleration RMS Xrms two indicators for fault judgement parameters, including kurtosis index KV is a dimensionless parameter,

sensitivity to the early failure of bearing, and is not sensitive to operating conditions, when bearing failure of tooth surface work surface, turn every week will have the impact of face defect pulse, the fault, the greater the impulse

response amplitude, the greater the KV value rise faster, but with the bearing fault serious deterioration in the late while the KV value declined, and has a value, on the other hand, it is sensitive to early failure is not enough, but

as the bearing fault degradation increased continuously, has good stability. In short, to achieve a simple diagnostic confidence a fruit, at the same time using kurtosis coefficient and has a value is appropriate, it both the diagnosis

parameter sensitivity and stability.
Simple diagnosis has a good side, but there are a lot of shortcomings, when bearing simple diagnosis, of the following would happen; (1) the parameters value of bearing fault, but cannot determine its failure parts, (2) bearing trouble-

free itself but due to the fault resulted from the assembly, such as rotor dynamic imbalance, of the shaft grinding, etc.). (3) on the frame, the measured fault signal is strong with the weak (minimum inner ring, roller is stronger, the

outer ring is larger), according to the parameters to produce the error. Through the above three kinds of situation analysis, simple diagnosis without judgement method of element bearing fault, cannot solve the topic of "as" maintenance,

so bearing diagnosis through the simple diagnosis decision only for XXX is not enough, must be precise diagnosis.