The importance of diagnosis method for rolling bearing fault diagnosis

The first stage: the general frequency harmonic analyzer bearing fault diagnosis. In the mid - 1960 - s, due to the fast Fourier transform ( FFT) The emergence and development of technology, the fault signal spectrum analysis obtained great development, people are already on the rolling bearing components injury occurs fault signal characteristic frequency calculation and using spectrum analyzer actual analysis results are compared to determine if there is a fault rolling bearing. The second stage: the shock pulse technology in the diagnosis of bearing faults. In the late 1960 s, introduced the first shock pulse meter, according to the most sharp shock pulse value to diagnose the bearing failure. This method can effectively detect the early damage type of bearing fault. The third stage: by using the technology of resonant demodulation bearing fault diagnosis. The technology of resonant demodulation compared with shock pulse technology, more effective to detect early damage type bearing fault. Resonance demodulation technology can not only diagnose whether there is a bearing fault, and can judge the fault occur on which bearing components, and bearing the severity roughly. The fourth stage: development of rolling bearing for the center with microcomputer monitoring and fault diagnosis system. In the 1990 s, with the rapid development of computer technology, the development of rolling bearing fault diagnosis system for the center with microcomputer caused the domestic outside the attention of the researchers. Microcomputer signal analysis and fault diagnosis system not only has high flexibility and strong adaptability, easy to protect and upgrade, and easy to promotion and application. Compared with other diagnosis method, the vibration diagnosis method basically has the following advantages: ( 1) Can detect the abnormal phenomena in various kinds of bearings; ( 2) At the beginning of the fault can be found that is unusual, and in the rotation measurement ( 3) Due to the vibration signal from the bearing itself, so do not need special signal source ( 4) Signal detection and processing is simpler.