An intelligent condition-based maintenance platform for rotating machinery
نویسندگان
چکیده
منابع مشابه
An intelligent condition-based maintenance platform for rotating machinery
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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Condition-based maintenance (CBM) presently plays an important role in avoiding unexpected failures, improving machine reliability, and providing accurate maintenance records and activities for rotating machinery. Traditional wired sensors commonly used for gathering data are costly and of limited value in industry. Recently, together with the advancement of sensor technology and communication ...
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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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The rotating machinery is a common class of machinery in the industry. The root cause of faults in the rotating machinery is often faulty rolling element bearings. This paper presents a novel technique using artificial neural network learning for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (harmmean and median), whic...
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The high costs in maintaining today’s complex and sophisticated equipment make it necessary to enhance modern maintenance management systems. Conventional condition-based maintenance (CBM) reduces the uncertainty of maintenance according to the needs indicated by the equipment condition. The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2012
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2011.08.159