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
Papers
More filters
TL;DR: In this article, a sensorless automated condition monitoring (SACM) algorithm is proposed to reduce the system downtime by comparing current characteristic parameters with those which were taken when the machine was new.
72 citations
TL;DR: Traditional algorithms used to detect and diagnose faulty bearings in heavy-duty milling machine tool spindle heads in the field of bearing diagnostics are reviewed.
Abstract: Fault detection and diagnosis of ball bearings has always been a challenge when monitoring rotating machinery. Specifically, bearing diagnostics have seen extensive research in the field of fault detection and diagnosis. This article reviews traditional algorithms used to detect and diagnose faulty bearings in heavy-duty milling machine tool spindle heads. Different kinds of faults have been created deliberately on the bearings of a test spindle head. The prediction effectiveness of several detection methods are tested when faults are in different stages of development.
71 citations
TL;DR: Two new maintenance policies using prognostic information are introduced based on a degradation and measurement model of crack growth propagation, and their maintenance cost models are evaluated jointly by analytical and simulation approaches and compared with two more classical benchmark models.
Abstract: This paper deals with maintenance decision-making for single-unit deteriorating systems operating under indirect condition monitoring. Based on a degradation and measurement model of crack growth propagation, two new maintenance policies using prognostic information are introduced. Their maintenance cost models are evaluated jointly by analytical and simulation approaches, and are compared with two more classical benchmark models. Such complete models integrating degradation phenomenon, monitoring characteristics, state estimation, prognostics, and maintenance assessment can give rise to fruitful numerical analyses and discussions. The main contributions of the paper are to i) analyze jointly the condition-based and dynamic structure of the considered maintenance policies; ii) propose some effective methods to reduce the effect of measurement uncertainty in condition-based maintenance decision-making; and iii) show the relevance of quantification methods when deciding to resort to prognostic approaches, and to invest in condition monitoring devices.
71 citations
TL;DR: A new architecture that incorporates the advantages of fuzzy clustering into well known dynamic fuzzy neural networks (DFNN) to form an online condition monitoring system which is tolerant to slight drifts in process dynamics and adaptable to variations in parameters and device.
71 citations
TL;DR: The three-stage failure concept proposed is an extension to the delay time concept where the plant failure process is divided into a two-stage process and is a step closer to reality since a binary description of the plat item's state is restrictive.
71 citations