Topic
Condition monitoring
About: Condition monitoring is a research topic. Over the lifetime, 13911 publications have been published within this topic receiving 201649 citations.
Papers published on a yearly basis
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TL;DR: In this article, a test rig is designed and a pair of brand new commercial ball bearings is installed, and statistical measures are calculated during the test, when anomalies are detected in the statistical measures, vibration spectra are obtained and examined to determine where the defect is on the running surfaces.
77 citations
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TL;DR: A method to predict the future conditions of machines based on one-step-ahead prediction of time-series forecasting techniques and regression trees and the results indicate that the proposed method offers a potential for machine condition prognosis.
77 citations
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TL;DR: A machine learning based approach for detecting drifting behavior – so-called concept drifts – in continuous data streams as potential indication for defective system behavior and depict initial tests on synthetic data sets is presented.
77 citations
01 Jan 1989
TL;DR: The motor current signature analysis (MCSA) is a powerful monitoring tool for motor-driven equipment that provides a nonintrusive means for detecting the presence of mechanical and electrical abnormalities in the motor and the driven equipment, including altered conditions in the process ''downstream'' of the motor driven equipment.
Abstract: Motor current signature analysis (MCSA) is a powerful monitoring tool for motor-driven equipment that provides a nonintrusive means for detecting the presence of mechanical and electrical abnormalities in the motor and the driven equipment, including altered conditions in the process ''downstream'' of the motor-driven equipment. It was developed at the Oak Ridge National Laboratory as a means for determining the effects of aging and service wear systems, but it is applicable to a broad range of machinery. MCSA is based on the recognition that an electric motor (ac or dc) driving a mechanical load acts as an efficient and permanently available transducer by sensing mechanical load variations, large and small, long-term and rapid, and converting them into variations in the induced current generated in the motor windings. These motor current variations are carried by the electrical cables processes as desired. Motor current signatures, obtained in both time and over time to provide early indication of degradation. Successful applications of MCSA technology (patent applied for) include not only motor-operated valves but also pumps of various designs, blowers, and air conditioning systems. Examples are presented briefly, and speculation regarding the applicability of MCSA to a broader range of equipment monitoring and productionmore » line testing is also given. 1 ref., 13 figs.« less
77 citations
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TL;DR: In this article, an effective procedure for vibration condition monitoring of low speed (⩽100 RPM) rolling element bearings is described, which incorporates fault detection using frequency domain trending indices with fault diagnosis using the frequency spectra.
77 citations