This work presents novel approaches for feature selection and alarm settings that can be exploited by automatic health monitoring systems that use vibrations of industrial machinery as a primary source for detection of failures and incipient faults. For any feature extracted from a sensor signal, a baseline is created that is accepted or rejected according to its statistical properties and the largest time constant of the system. The proposed framework determines alarms using an alarm coefficient that is motivated by established engineering norms, heuristics, and acceleration models. The operation of the architecture and the system performance are tested with industrial failure data.
From the volumes of data that can be obtained today, information extraction has been a very challenging task. An organized set of information such that it can be considered as knowledge is yet another level of abstraction that puts these pieces of information in place, in space and time, so that when combined, they make sense, thus forming what is commonly known as a Knowledgebase (KB). A 'self-evolution' process in a KB is meant to handle such information related issues as incorrect information, missing information, and incomplete information. Other maintenance issues are related to data organization that results in incorrect or inefficient information retrieval, and removal of unnecessary data. The concepts presented in this paper are inspired by the overall vision for an asset readiness decision-making system.
This work presents an approach that addresses the concept of self-healing as a contingency management approach framed in the PHM perspective. The study is centered on developing strategies for extending the operation of power-electronics to motor-drives and electric machinery. The strategies proposed are capable of maintaining operational functionality at reduced performance during various fault conditions, as well as optimize the impact of stresses in the failing parts in the overall system. The main tradeoffs of the techniques are discussed and evaluated.
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