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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TL;DR: In this article, the most important and applicable techniques for fault detection in industrial induction motors are reviewed, and fault diagnosing procedures at different supply modes including line-start and inverter-fed modes.
65 citations
TL;DR: In this article, condition monitoring techniques such as vibration analysis, acoustic signal analysis and lubricating oil analysis are performed to early detect two failures of a wind turbine gear box such as tooth chip breakage and tooth root crack.
65 citations
TL;DR: A CBM policy with a failure rate-based control limit and an effective computational algorithm in the SMDP framework is developed to optimize the proposed maintenance policy, with the objective of minimizing the long-run expected average cost.
65 citations
TL;DR: In this article, the use of cyclo-stationary properties of signals to identify and characterize sources of modulation has been proposed for multi-fault detection in complex mechanical systems like multi-stage gearboxes.
Abstract: The paper explores the cyclo-stationary properties of vibration signals for estimation of gearbox condition. The advantage of such approach may be clearly seen especially for so called multi-faults problem, i.e. for more than one faults that occurred in the system. In complex mechanical systems like multistage gearboxes, such situation may be often seen. Although this approach becomes more and more popular, it has been noticed that there is difficult to find examples highlighting its potential, especially for real industrial situations. In order to fill partially the gap, the paper deals with the multi fault detection in complex mechanical systems like multi-stage gearboxes: fixed axis and planetary. It has been discussed that during the operation in such machines many faults may appear simultaneously and the classical method like envelope analysis is difficult to use. The paper presents the use of cyclo-stationary properties of signals to identify and characterize sources of modulation. From Spectral Correlation Density Map or more precisely Spectral Coherence Map have been observed the number of sources with different properties of modulation. It is shown that the number of harmonics is important for a kind of fault extraction and interpretation. This approach has been applied to two, three and five stage gearboxes used in mining industry. Vibration signals received in industrial environment during normal operation of objects are considered. It has been also proposed the simple diagnostic feature to estimate the changes of condition with application to a planetary stage in a 5-stage gearbox.
65 citations
01 May 2013
TL;DR: In this paper, a method based on minimum entropy deconvolution and envelop spectrum analysis is proposed for weak fault detection and diagnosis in vibration analysis, which can detect and diagnose weak faults.
Abstract: In vibration analysis, weak fault detect and diagnosis is of great importance. A method based on minimum entropy deconvolution and envelop spectrum analysis is proposed in this article. Minimum ent...
65 citations