Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review

V Singh, P Gangsar, R Porwal, A Atulkar - Journal of Intelligent …, 2023 - Springer
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 …

Comparative analysis of fuzzy classifier and ANN with histogram features for defect detection and classification in planetary gearbox

SS Hameed, V Muralidharan, BK Ane - Applied Soft Computing, 2021 - Elsevier
The planetary gearbox plays a vital role in many heavy-duty power transmission systems. It
is essential to monitor such systems for smooth and continuous operations to anticipate …

Histogram as features for fault detection of multi point cutting tool–A data driven approach

DP Kumar, V Muralidharan, S Ravikumar - Applied Acoustics, 2022 - Elsevier
In the milling process, the condition of the tool is the important factor that determines the
quality of the machined product. Hence, monitoring the condition of the tool becomes …

Faults diagnosis of a centrifugal pump using multilayer perceptron genetic algorithm back propagation and support vector machine with discrete wavelet transform …

M Al Tobi, G Bevan, P Wallace… - Computational …, 2021 - Wiley Online Library
This paper presents a comparative study of two artificial intelligent systems, namely;
Multilayer Perceptron (MLP) and support vector machine (SVM), to classify six fault …

Using MLP‐GABP and SVM with wavelet packet transform‐based feature extraction for fault diagnosis of a centrifugal pump

M Al Tobi, G Bevan, P Wallace… - Energy Science & …, 2022 - Wiley Online Library
This paper explores artificial intelligent training schemes based on multilayer perceptron,
considering back propagation and genetic algorithm (GA). The hybrid scheme is compared …

[PDF][PDF] Robust Algorithm to Learn Rules for Classification-a Fault Diagnosis Case Study.

PA Balaji, V Sugumaran - FME Transactions, 2023 - mas.bg.ac.rs
Machine learning algorithms are used for building classifier models. The rule-based
decision tree classifiers are popular ones. However, the performance of the decision tree …

Experimental set-up for investigation of fault diagnosis of a centrifugal pump

MAS Al Tobi, G Bevan… - … of Mechanical and …, 2017 - researchonline.gcu.ac.uk
Centrifugal pumps are complex machines which can experience different types of fault.
Condition monitoring can be used in centrifugal pump fault detection through vibration …

A review on applications of wavelet transform and artificial intelligence systems in fault diagnosis of rotating machinery

MAS Al Tobi, G Bevan, P Wallace… - International …, 2016 - researchonline.gcu.ac.uk
Rotating machines play a vital role in many process industries. Vibration analysis is a
common form of monitoring their condition. This paper reviews the application of wavelet …

Artificial Neural Network-Based Fault Detection System with Residual Analysis Approach on Centrifugal Pump: A Case Study

K Indriawati, GF Yugoputra… - … of Automotive and …, 2023 - journal.ump.edu.my
Centrifugal pump is an instrument that is widely used in industry and has become the main
driving component. A detection system is often needed to prevent damage to these pumps …

WAVELET AND FEATURE EXTRACTION

MAS Al Tobi - Artificial Intelligence Methods for Fault Diagnosis in …, 2022 - pubs.aip.org
In this chapter, the implementation of the pre-processing and feature extraction stage for the
vibration signals of the centrifugal pump is presented. There are seven different cases of the …