From model, signal to knowledge: A data-driven perspective of fault detection and diagnosis
X Dai, Z Gao - IEEE Transactions on Industrial Informatics, 2013 - ieeexplore.ieee.org
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 …
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …
A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems
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 …
Membrane Fuel Cell (PEMFC) system is presented. Three types of non-model based …
Heterogeneous feature models and feature selection applied to bearing fault diagnosis
TW Rauber, F de Assis Boldt… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Distinct feature extraction methods are simultaneously used to describe bearing faults. This
approach produces a large number of heterogeneous features that augment discriminative …
approach produces a large number of heterogeneous features that augment discriminative …
[图书][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics
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 …
anticipation of their failures: choice and location of sensors, data acquisition and processing …
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor
Sound and vibration analysis are prominent tools for machine health diagnosis. Especially,
neural network (NN) strategies have focused on finding complex and nonlinear relationships …
neural network (NN) strategies have focused on finding complex and nonlinear relationships …
A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications
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 …
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …
Comparison between artificial neural network and support vector method for a fault diagnostics in rolling element bearings
JP Patel, SH Upadhyay - Procedia engineering, 2016 - Elsevier
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 …
bearing without warning will result catastrophic consequences in many situations. Therefore …
A feature extraction procedure based on trigonometric functions and cumulative descriptors to enhance prognostics modeling
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 …
extracted features (that can be seen as time series health indicators).(1) Even if much of data …
A robust and reliable data-driven prognostics approach based on extreme learning machine and fuzzy clustering
K Javed - 2014 - theses.hal.science
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 …
gassets, while reducing exploitation and maintenance costs. For this reason, prognostics is …
Maintenance management of wind turbines structures via mfcs and wavelet transforms
RR de la Hermosa González, FPG Márquez… - … and Sustainable Energy …, 2015 - Elsevier
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 …
transform to detect defects on the tower of a wind turbine. 24 Macro-Fiber Composite …