Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

S Antomarioni, FE Ciarapica… - International Journal of …, 2022 - emerald.com
Purpose The research approach is based on the concept that a failure event is rarely
random and is often generated by a chain of previous events connected by a sort of domino …

Deep Reinforcement Learning for autonomous pre-failure tool life improvement

HA Taha, S Yacout, Y Shaban - The International Journal of Advanced …, 2022 - Springer
This paper develops an approach to improve a CNC machine's tool performance and slow
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …

Online Anomaly Detection of Industrial Processes and Machinery Based on Logical Analysis of Data and Statistical Control Charts

RMK Mohammed - 2022 - publications.polymtl.ca
De nos jours, les processus de fabrication évoluent pour intégrer les technologies de
l'industrie 4.0, à savoir celles nécessaires à la connectivité, à l'analyse, à l'évolutivité et à la …

[PDF][PDF] CONCEPT DRIFT DETECTION IN PROCESS MODELS

DMV SATO - ppgia.pucpr.br
Process mining provides an objective view of business processes from events collected from
the information systems. Usually, the methods assume that processes do not change; …

Development of maintenance framework for modern manufacturing systems

A Shaalan, D Baglee, D Dixon - 2022 - sure.sunderland.ac.uk
Modern manufacturing organizations are designing, building and operating large, complex
and often 'one of a kind'assets, which incorporate the integration of various systems under …

Interactive Process Drift Detection for Condition-Based Maintenance Using Process Mining Techniques

E Ruschel, DMV Sato, EE Scalabrin… - Available at SSRN … - papers.ssrn.com
The paper addresses problems related to the difficulty of detecting anomalies in
manufacturing equipment, as soon as they start, and this issue is recurrent in condition …

The development of CMMS incorporating condition monitoring tools in the advances of Industry 4

D Baglee, A Morris - 2022 - sure.sunderland.ac.uk
Computerized maintenance management software (CMMS) considered effective supporting
tools to enhance the organisation and scheduling practices of maintenance tasks on …