[HTML][HTML] Condition-based maintenance using machine learning and role of interpretability: a review
This article aims to review the literature on condition-based maintenance (CBM) by
analyzing various terms, applications, and challenges. CBM is a maintenance technique that …
analyzing various terms, applications, and challenges. CBM is a maintenance technique that …
Recent advances in the theory and practice of logical analysis of data
Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data
This paper applies the Logical Analysis of Data (LAD) to detect and diagnose faults in
industrial chemical processes. This machine learning classification technique discovers …
industrial chemical processes. This machine learning classification technique discovers …
[HTML][HTML] Power transformer fault detection: A comparison of standard machine learning and autoML approaches
G Santamaria-Bonfil, G Arroyo-Figueroa… - Energies, 2023 - mdpi.com
A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …
transformer. Although power transformers are very reliable assets, the early detection of …
Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher's criterion
R Ziani, A Felkaoui, R Zegadi - Journal of Intelligent Manufacturing, 2017 - Springer
Condition monitoring of rotating machinery has attracted more and more attention in recent
years in order to reduce the unnecessary breakdowns of components such as bearings and …
years in order to reduce the unnecessary breakdowns of components such as bearings and …
Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory
C Wang, M Gan, C Zhu - Journal of Intelligent Manufacturing, 2018 - Springer
Extracting reliable features from vibration signals is a key problem in machinery fault
recognition. This study proposes a novel sparse wavelet reconstruction residual (SWRR) …
recognition. This study proposes a novel sparse wavelet reconstruction residual (SWRR) …
Design of informatics-based services in manufacturing industries: case studies using large vehicle-related databases
Numerous companies in manufacturing industries have “servitized” their value propositions
to address issues on product commoditization and sustainability. A key component of …
to address issues on product commoditization and sustainability. A key component of …
Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions
This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …
machinery. The methodology merges a machine learning and pattern recognition approach …
SCADI: A standard dataset for self-care problems classification of children with physical and motor disability
MS Zarchi, SMMF Bushehri… - International journal of …, 2018 - Elsevier
Self-care problems diagnosis and classification is an important challenge in exceptional
children health care systems. Since, self-care problems classification is a time-consuming …
children health care systems. Since, self-care problems classification is a time-consuming …
Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan–Meier estimation
Most of the reported prognostic techniques use a small number of condition indicators
and/or use a thresholding strategies in order to predict the remaining useful life (RUL). In this …
and/or use a thresholding strategies in order to predict the remaining useful life (RUL). In this …