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Spectrum intelligence analysis system of rotating machinery Research and Implementation

Author: HeShan
Tutor: WangFengTao
School: Dalian University of Technology
Course: Precision instruments and machinery
Keywords: Rotating Machinery Spectrum Expert System Neural Network Intelligence analysis
CLC: TH165.3
Type: Master's thesis
Year: 2009
Downloads: 119
Quote: 1
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Abstract


With the computer technology and fault diagnosis technology, various fault diagnostic software have been put into use, but the equipment currently used in rotating machinery monitoring and fault diagnosis system mostly uses digital signal processing technology, which is for the use of customers and staff is on-site monitoring difficult to grasp that they need for a simple operation can give diagnostic conclusions of intelligent analysis and diagnosis system . The other hand, the spectrum of rotating machinery , it contains a wealth of information, different fault conditions of its frequency and its amplitude varies in size , features bands characteristic of the size and proportions , can reflect the corresponding fault type. Spectrum is a rotating mechanical failure of the main source of information , and many are based on spectral analysis methods for the data source . This paper introduces the common faults of rotating machinery and their spectral characteristics . Analysis of the spectrum , the spectrum can be found mainly surrounded by the spectrum area , the background area spectrum , spectrum and spectral composition of curved boundaries , their corresponding contrasting colors , the use of these colors using image processing techniques directly on the spectrogram feature extraction to obtain fault symptoms . Expert systems and neural networks have their own advantages and disadvantages , it is difficult to meet all the requirements of the diagnosis of complex systems . Advantages and disadvantages of the two designs for the symbolic reasoning based expert systems and neural networks based on numerical calculations combine the two neural network fault diagnosis expert system, good to meet the intelligence requirements . On Windows XP systems , the use of fully object-oriented Java technology and a powerful relational database Oracle, design and implementation of feature extraction and intelligent spectrum analysis and diagnosis functions and user interface. Simple operation by the user can be given directly to the device is operating normally, what if a failure occurs , the possible causes and measures to be taken of the results. The system has been applied to the monitoring report of Yanshan Petrochemical spectrum analysis , for typical faults of rotating machinery can make more accurate judgments , the application shows that the system is practical and effective.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Flexible manufacturing systems and flexible manufacturing cell > Fault diagnosis and maintenance
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