… in different process conditions and helps operators in identifying fault detection while
avoiding any hazardous action for maintenance service. Moreover, a reliable fault indicator will …

… Condition based maintenance … motor failure, early fault detection and diagnosis of the
IM components that begin to degrade is done in the industry [80]. The condition monitoring …

… Moreover, the methodology presented in this work is a diagnostic-oriented decision … of
condition-based maintenance whenever possible, such as condition monitoring and failure finding …

… study utilizes the entire 10,000 samples to detect whether the milling machine has a failure or
is in normal condition based on … areas for refinement in LAD-based maintenance practices. …

… continuous failure of machines, this will cause incorrect data portraying… using fuzzy logic
and some finite element analysis of components to monitor the parameters. Root cause analysis …

… least squares support vector machines (LS-SVMs) for early fault detection in an on-line …
a condition-monitoring methodology used in order to develop a condition-based maintenance …

… who refine the maintenance strategy accordingly. Therefore, this study mainly focuses on …
on gas turbine fault detection and prognostics using gas path faults and performance …

… Early and accurate fault detection and diagnosis (FDD) in chemical plants has been
shown to minimize downtime, improve safety, and reduce manufacturing costs (Maurya, …

… Detection signals faults and diagnostics provide the root cause and location. Fault detection
is based on signal and process mathematical models, while fault diagnosis is focused on …

… interpretation [11]. The automation of the fault detection and diagnostic process is a logical
… One of the most important elements of Condition Based Maintenance (CBM), condition …