A big bang-big crunch type-2 fuzzy logic system for explainable predictive maintenance
The role of maintenance in modern manufacturing systems is becoming a more significant
contributor to organizational benefit. World-class enterprises are pushing forward with …
contributor to organizational benefit. World-class enterprises are pushing forward with …
Data-driven methods for predictive maintenance of industrial equipment: A survey
W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …
data-driven methods has become the most effective solution to address smart manufacturing …
Machine Learning and IIoT Application for Predictive Maintenance
S Gautam, R Noureddine, WD Solvang - International Workshop of …, 2022 - Springer
Advancement of technology is at large, and a lot of companies are exploring different ways
to utilize it in the field of productivity and efficiency. The fourth revolution in Industry …
to utilize it in the field of productivity and efficiency. The fourth revolution in Industry …
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …
the foundations for implementing the concept of intelligent production, smart products …
Predictive monitoring of incipient faults in rotating machinery: a systematic review from data acquisition to artificial intelligence
Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …
machines consisting of rotating elements such as gears, bearings etc are considered as the …
[PDF][PDF] Machine Learning-Based Predictive Maintenance of Industrial Machines
C Patil, S Jadhav, A Bardiya, A Davande… - … Journal of Computer …, 2023 - researchgate.net
IoT (IIoT) enables machines, people, cloud computing and analytics to function together,
improving the performance and productivity of industrial processes. Earlier maintenance of …
improving the performance and productivity of industrial processes. Earlier maintenance of …
Predictive Maintenance in IoT: Early Fault Detection and Failure Prediction in Industrial Equipment
R Atassi, F Alhosban - Journal of Intelligent Systems and Internet …, 2023 - americaspg.com
The Industrial Internet of Things (IoT) has ushered in a new era of predictive maintenance,
revolutionizing the way industries manage and maintain their critical equipment. This paper …
revolutionizing the way industries manage and maintain their critical equipment. This paper …
A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
Instance-Wise Causal Feature Selection Explainer for Rotating Machinery Fault Diagnosis
Artificial neural networks in prognostics and health management (PHM), especially in
intelligent fault diagnosis (IFD) have made great progress but possess black-box nature …
intelligent fault diagnosis (IFD) have made great progress but possess black-box nature …
An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm
The predictive health maintenance techniques identify the machine faults by analyzing the
data collected by low-cost sensors assuming that sensors are free from any faults. However …
data collected by low-cost sensors assuming that sensors are free from any faults. However …