The Selection of Diagnostic Technologies and Sensors for Condition Based Maintenance Systems

C. Nemarich, H. R. Hegner, M. Natishan
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引用次数: 0

Abstract

The effective implementation of Condition Based Maintenance (CBM) systems generally requires the use of sensors selected specifically to detect, isolate and diagnose machinery component faults. In order for CBM systems to operate reliably, the diagnostic technologies and sensors used to monitor the machinery must provide repeatable and accurate measurements. The ability of a CBM system to effectively detect and correctly identify component faults at their inception depends largely on the appropriate selection of the fault parameters to be measured and the sensors used to measure them. Furthermore, the incorrect selection, inappropriate application, or inattention to the sensor performance requirements may lead to missed failure detects and false alarms, resulting in the general lack of acceptance of the entire CBM system. This paper presents an overview of a methodology for the selection of applicable diagnostic technologies and sensors for machinery health monitoring systems.
基于状态维护系统的诊断技术和传感器的选择
基于状态的维护(CBM)系统的有效实施通常需要使用专门选择的传感器来检测、隔离和诊断机械部件故障。为了使CBM系统可靠地运行,用于监测机器的诊断技术和传感器必须提供可重复和准确的测量。CBM系统是否能够有效地检测和正确识别部件故障,在很大程度上取决于要测量的故障参数和用于测量它们的传感器的适当选择。此外,不正确的选择、不适当的应用或对传感器性能要求的不重视可能导致错过故障检测和误报,从而导致整个CBM系统普遍不被接受。本文概述了一种方法的选择适用的诊断技术和传感器的机械健康监测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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