Equipment's Prognostics Using Logical Analysis of Data

A Ghasemi, S Esmaeili, S Yacout - … Products and Services: IFIP WG 5.7 …, 2013 - Springer
This paper demonstrates the implementation of Logical Analysis of Data (LAD) methodology
in the field of prognostics in Condition Based Maintenance (CBM). In this paper the LAD …

[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 …

Data-driven approaches to maintenance policy definition: general framework and applications

S Antomarioni - 2021 - iris.univpm.it
The competitiveness characterizing the current industrial scenario requires high levels of
process reliability. This aspect is particularly relevant for complex plants since many …

Equipment mean residual life estimation using logical analysis of data

A Ghasemi, S Esmaeili… - International Journal of …, 2015 - inderscienceonline.com
Logical analysis of data (LAD) has the advantage of not relying on any statistical theory,
which enables it to overcome the conventional problems concerning the statistical properties …

Big Data Analytics for Condition Based Monitoring and Maintenance

Z Li - 2020 - opus.lib.uts.edu.au
Condition-based Maintenance (CBM) will significantly achieve the cost-saving while
monitoring the related infrastructure through the most accurate maintenance scheduling. It …

An attribute oriented induction based methodology to aid in predictive maintenance: anomaly detection, root cause analysis and remaining useful life

J Fernández Anakabe - 2019 - ebiltegia.mondragon.edu
Predictive Maintenance is the maintenance methodology that provides the best performance
to industrial organisations in terms of time, equipment effectiveness and economic savings …

[图书][B] Estimation quantitative du risque lié aux machines en exploitant des rapports d'enquête d'accident et l'analyse logique de données

S Jocelyn - 2017 - search.proquest.com
Les préventionnistes en sécurité des machines utilisent différents outils, dont des rapports
d'enquêtes d'accidents, pour les aider dans l'identification des risques en milieu de travail …