A Study On Order Tracking For Rotation Machinery And Software Implementation

Nowadays, the fault diagnosis of rotating machinery is one of the fast developed emerging technologies at home and abroad. Its has been widely used in many fields such as aviation, large-scale oil, electricity, chemical industry, engines, gas turbines, generator, air blower and so on. Reasearch and application on monitoring and analyzing system of vibration for a large rotating machine has significant influence on avoiding substantive economic loss and possible disastrous accident. In the development of fault diagnosis technology, the extraction of fault features, in particular, at the non-stationary stage of start-up or run-down operation, is found to be the most important and difficult step in the whole process, and is also the key step. The lack of fault features is the bottle neck of fault diagnosis, and directly governs the accuracy of fault diagnosis and the reliability of early diagnosis. To solve this problem, information processing, especially the modern signal processing is the necessary academic and technical methods to explore new path of fault feature extraction of meachanical systems, and develop new theory and technology of fault diagnosis. Thus,order analysis technology came into being.In this dissertation, time-frequency analysis methods were introduced in the characteristic analysis of rotating machinery. While a good study to classic and the time-frequency analysis of non-stationary signals, and important research were carried on order analysis, a very powerful tool for characteristics analysis of rotating machinery. Some new methods of order analysis and instantaneous frequency estimation were proposed and successful done based on the relationship between the instantaneous frequency of vibration signal and the rotating speed of machinery.At first, traditional order anlaysis was researched, and laid a theoretical basis for reaching new methods of rotating machinery order tracking.Instantaneous frequency eatimate mehod (STFT-Viterbi Fit(STFT _VF)) was introduced in the characteristics analysis of rotating machinery. STFT_VF algorithm is superior to traditional STFT peak detection method in the precision and efficiency. The non-stationary in the situation of high interference and complexity rotating machinery which include close orders and crossing orders were done through STFT _VF algorithm.By deep study and advanced research on traditional Gabor order tracking, a new order tracking method based on Viterbi algorithm and Gabor transform was proposed. It overcomes the problems of low accuracy and complex mechanical signal powerless witch include close orders and crossing orders. In contrast with traditional method of Gabor order tracking, this method use the viterbi algorithm replaced the time-frequency filter technique in process of the VA_GOT.Adaptive Vold-kalman order tracking based on short time Fourier transform and Viterbi algorithm (STFT_VF) was achieved for run-up or coast down vibration signal. In contrast with traditional method of Vold-Kalman order tracking, this method includes some advantages, for example, tacho and hardware are not employed to do order tracking. It is effective adding to traditional order tracking filtering methods. Based on these mentioned above, the software of Order Tracking (OrdTra) was developed on the basis of France OROS R3.4 dynamic instrument and NVGate (noise and vibration signal analysis). So, it is enabled the abilities to analysis non-stationary vibration of rotating machinery in the station of on-line and off-line. The thesis discusses software design and programming techniques, plotform architecture, multi-thread and network communication techniques.Finally, each module of OrdTra was effectiveness and practicality which was validated through experimental.