Computational intelligence to detect bearing faults using optimal features from motor current signals
G Geetha, P Geethanjali - Systems Science & Control Engineering, 2024 - Taylor & Francis
In recent times, there has been a notable growth in research investigations into the fault
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …
Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier
C Rahmoune, M Amine Sahraoui… - Advances in …, 2023 - journals.sagepub.com
The evolution of industrial systems toward Industry 4.0 presents the challenge of developing
robust and accurate models. In this context, feature selection plays a pivotal role in refining …
robust and accurate models. In this context, feature selection plays a pivotal role in refining …
Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracy
Petroleum serves as a cornerstone of global energy supply, underpinning economic
development. Consequently, the effective detection of faults in oil and gas (O&G) wells is of …
development. Consequently, the effective detection of faults in oil and gas (O&G) wells is of …
Feature selection method based on wavelet similarity combined with maximum information coefficient
G Yuan, X Li, P Qiu, X Zhou - Information Sciences, 2025 - Elsevier
Feature Selection (FS), a ubiquitous technique for mitigating data dimensionality, has
garnered extensive adoption within the realm of machine learning. Conventionally …
garnered extensive adoption within the realm of machine learning. Conventionally …
Impact of Data Leakage in Vibration Signals Used for Bearing Fault Diagnosis
L Wheat, M Mohrenschildt, S Habibi, D Al-Ani - IEEE Access, 2024 - ieeexplore.ieee.org
Bearing fault diagnosis is a well-developed field and an active area of research in which the
combination of model-free machine learning techniques with vibration data has become a …
combination of model-free machine learning techniques with vibration data has become a …
Intelligent multi-fault identification and classification of defective bearings in gearbox
Bearing faults in gearbox systems pose critical challenges to industrial operations, needing
advanced diagnostic techniques for timely and accurate identification. In this paper, we …
advanced diagnostic techniques for timely and accurate identification. In this paper, we …
Advancing condition-based maintenance of naval propulsion systems with ensemble learning techniques
In the field of industrial engineering, especially in the operation of Gas Turbine (GT)
propulsion systems used in frigates, ensuring reliable and efficient performance is crucial …
propulsion systems used in frigates, ensuring reliable and efficient performance is crucial …
Investigation of Poor Explainability of Fraud Detection Black-Box Models: Implementation of Parsimonious Point-Based Scoring Model
S Lhymn - 2024 - search.proquest.com
This study examined explainability in machine learning. Specifically, the research problem
was poor parsimony in fraud detection models. Financial services organizations, especially …
was poor parsimony in fraud detection models. Financial services organizations, especially …
Comparative Analysis of Feature Selection Methods for Software Bug Classification
BA Orenyi, OO Tolulope, AE Tobi - … International Conference on …, 2024 - ieeexplore.ieee.org
Software bug classification is a critical task in software engineering aimed at identifying
defects early to improve software quality and reliability. Despite its importance, effectively …
defects early to improve software quality and reliability. Despite its importance, effectively …
Computational Intelligence for Detection of Bearing Faults in Permanent Magnet Synchronous Motor Using Current Signal
P Geethanjali - papers.ssrn.com
In recent times, there has been a notable growth in research investigations into the fault
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …