Topic
Condition monitoring
About: Condition monitoring is a research topic. Over the lifetime, 13911 publications have been published within this topic receiving 201649 citations.
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01 Aug 1999
TL;DR: Condition monitoring through the use of vibration analysis is an established and effective technique for detecting the loss of mechanical integrity of a wide range and classification of rotating machinery.
Abstract: Condition monitoring through the use of vibration analysis is an established and effective technique for detecting the loss of mechanical integrity of a wide range and classification of rot...
71 citations
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29 Aug 2003
TL;DR: Lappeenranta University of Technology Acta Universitatis Lappenranta et al. as mentioned in this paper 157], 157] and the work of as mentioned in this paper is related to our work.
Abstract: Lappeenranta University of Technology Acta Universitatis Lappeenrantaensis 157
71 citations
TL;DR: In this article, a modulation signal bispectrum (MSB) based robust detector for bearing fault detection is proposed, which allows effective suppression of both stationary random noise and discrete aperiodic noise.
71 citations
TL;DR: The preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection and significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely.
Abstract: Wheel defects on trains, such as flat wheels and out-of-roundness, inevitably jeopardize the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practice to identify wheel defects. However, the defects may not be spotted in time. Therefore, an automatic, remote-sensing, reliable, and accurate monitoring system for wheel condition is always desirable. The paper describes a real-time system to monitor wheel defects based on fiber Bragg grating sensors. Track strain response upon wheel-rail interaction is measured and processed to generate a condition index which directly reflects the wheel condition. This approach is verified by extensive field test, and the preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection. The system significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely.
71 citations
TL;DR: In this article, a new combined method based on wavelet transformation, fuzzy logic and neuro-networks is proposed for fault diagnosis of a triplex, where failure characteristics of the fluid- and dynamic-end can be divided into wavelet transform in different scales at the same time.
71 citations