Intelligent condition monitoring of rotating machinery
نویسندگان
چکیده
منابع مشابه
Rotating Machinery for Condition Monitoring
Novelty detection has been developed into a state-of-the-art technique to detect abnormal behavior and trigger alarm for in-field machine maintenance. With built-up models of normality, it has been widely applied to several situations with normal supervising dataset such as shaft rotating speed and component temperature available meanwhile in the absence of fault information. However, the resea...
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Maintenance is of necessity for sustaining machinery availability and reliability in order to ensure productivity, product quality, on-time delivery, and safe working environment. The costly maintenance strategies such as corrective maintenance and scheduled maintenance have been progressively replaced by superior maintenance strategies in which condition-based maintenance (CBM) is one of the d...
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The concept that changes in the dynamic behaviour of a rotor could be used for general fault detection and monitoring is well established. Current methods rely on the response of the machine to unbalance excitation and are mainly based on pattern recognition approaches. However these methods are relatively insensitive and the crack must be large before it can be robustly detected. Active magnet...
متن کاملApplication of Bicoherence Analysis on Vibration Data for Condition Based Monitoring of Rotating Machinery
Bicoherence or Bispectrum analysis is emerging as a new powerful technique in signal processing, especially in areas where traditional linear spectral analysis provides insufficient information. It is most effective in analyzing systems with non-linear coupling between frequencies. Faults in rotating machineries leave their signature on the vibration signal sensors and generally manifest themse...
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Timely and accurate condition monitoring and fault diagnosis of rotating machinery are very important to maintain a high degree of availability, reliability and operational safety. This paper presents a novel intelligent method based on local mean decomposition (LMD) and multi-class reproducing wavelet support vector machines (RWSVM), which is applied to diagnose rotating machinery faults. Firs...
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ژورنال
عنوان ژورنال: Journal of Science and Technology (Ghana)
سال: 2007
ISSN: 0855-0395
DOI: 10.4314/just.v26i3.69757