A review on fault detection and process diagnostics in industrial processes
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …
an effective indicator which can identify faulty status of a process and then to take a proper …
Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review
The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …
4.0 revolution but are often complicated and labour intensive. The application of artificial …
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and
vibratory measurements in such mechanical devices are all sensitive to the existence of …
vibratory measurements in such mechanical devices are all sensitive to the existence of …
[LLIBRE][B] Rotor systems: analysis and identification
R Tiwari - 2017 - taylorfrancis.com
The purpose of this book is to give a basic understanding of rotor dynamics phenomena with
the help of simple rotor models and subsequently, the modern analysis methods for real life …
the help of simple rotor models and subsequently, the modern analysis methods for real life …
Compound gear-bearing fault feature extraction using statistical features based on time-frequency method
LS Dhamande, MB Chaudhari - Measurement, 2018 - Elsevier
A small incipient fault in gear and bearing causes multiple faults in gear-bearing system
leading to catastrophic failure. The purpose of present study is to explore more complex …
leading to catastrophic failure. The purpose of present study is to explore more complex …
Support vector machines in engineering: an overview
This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …
applicability to real‐world engineering problems. Specifically, the aim of this study is to …
Prediction of flow blockages and impending cavitation in centrifugal pumps using Support Vector Machine (SVM) algorithms based on vibration measurements
The present work concentrates on the vibration based condition monitoring and fault
diagnosis of centrifugal pumps. Two types of interrelated faults, ie flow blockages in the inlet …
diagnosis of centrifugal pumps. Two types of interrelated faults, ie flow blockages in the inlet …
A roadmap to fault diagnosis of industrial machines via machine learning: a brief review
In fault diagnosis, machine learning theories are gaining popularity as they proved to be an
efficient tool that not only reduces human effort but also identifies the health conditions of the …
efficient tool that not only reduces human effort but also identifies the health conditions of the …
[HTML][HTML] Fault diagnosis of tractor auxiliary gearbox using vibration analysis and random forest classifier
Accurate detection of mechanical components faults is an essential step for reduction of
repair cost, human injury probability and loss of production. Using intelligent fault diagnosis …
repair cost, human injury probability and loss of production. Using intelligent fault diagnosis …
A comparative experimental research on the diagnosis of tooth root cracks in asymmetric spur gear pairs with a one-dimensional convolutional neural network
Gearboxes transfer rotational motion and handle precision functionalities in many fields,
including aviation, wind turbines, and industrial services. Their health management is …
including aviation, wind turbines, and industrial services. Their health management is …