This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …

A review of non-model based methodologies applied to diagnosis of Proton Exchange
Membrane Fuel Cell (PEMFC) system is presented. Three types of non-model based …

Distinct feature extraction methods are simultaneously used to describe bearing faults. This
approach produces a large number of heterogeneous features that augment discriminative …

This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

Sound and vibration analysis are prominent tools for machine health diagnosis. Especially,
neural network (NN) strategies have focused on finding complex and nonlinear relationships …

This article aims to present a comprehensive review of the recent efforts and advances in
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …

Rolling element bearings are the most crucial part of any rotating machines. The failures of
bearing without warning will result catastrophic consequences in many situations. Therefore …

Performances of data-driven approaches are closely related to the form and trend of
extracted features (that can be seen as time series health indicators).(1) Even if much of data …

Prognostics and Health Management (PHM) aims at extending the life cycle of engineerin
gassets, while reducing exploitation and maintenance costs. For this reason, prognostics is …

This paper introduces a novel Fault Detection and Diagnosis method based on the wavelet
transform to detect defects on the tower of a wind turbine. 24 Macro-Fiber Composite …