Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
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 …
Satellite image classification using a hierarchical ensemble learning and correlation coefficient-based gravitational search algorithm
K Thiagarajan, M Manapakkam Anandan, A Stateczny… - Remote Sensing, 2021 - mdpi.com
Satellite image classification is widely used in various real-time applications, such as the
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
[BOOK][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 …
A support vector machine based fault diagnostics of Induction motors for practical situation of multi-sensor limited data case
This paper is focused on the development of a new SVM based fault diagnosis methodology
for Induction Motors (IMs) in practical situation of limited data or information case. This work …
for Induction Motors (IMs) in practical situation of limited data or information case. This work …
On-line time domain vibration and current signals based multi-fault diagnosis of centrifugal pumps using support vector machines
It has been observed that centrifugal pumps (CPs) usually fail due to flow instabilities and
other factors related to the hydraulic pump design. What is often ignored is the role of one …
other factors related to the hydraulic pump design. What is often ignored is the role of one …
Multifault diagnosis of induction motor at intermediate operating conditions using wavelet packet transform and support vector machine
This paper proposes advancement in the fault diagnosis of induction motors (IMs) based on
the wavelet packet transform (WPT) and the support vector machine (SVM). The aim of this …
the wavelet packet transform (WPT) and the support vector machine (SVM). The aim of this …
Investigations on additive manufacturing of Ti–6Al–4V by microplasma transferred arc powder deposition process
This paper presents investigation findings on additive manufacturing (AM) aspects of
Ti6Al4V by microplasma transferred arc powder deposition (μ-PTAPD) process in …
Ti6Al4V by microplasma transferred arc powder deposition (μ-PTAPD) process in …
[HTML][HTML] Artificial neural network based fault diagnostics for three phase induction motors under similar operating conditions
This paper describes an Artificial Neural Network (ANN) based fault diagnosis methodology
for Induction Motors (IM) operating under the same conditions for various speeds and loads …
for Induction Motors (IM) operating under the same conditions for various speeds and loads …
Additive fault diagnosis techniques in rotor systems: a state-of-the-art review
Faults in rotating systems can cause significant damage to the machinery and can result in
downtime and production losses. Hence, the timely detection and diagnosis of faults are …
downtime and production losses. Hence, the timely detection and diagnosis of faults are …