Výsledky vyhledávání - "physical asset management"

Akademický článek

Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

Autor: David R. Godoy, Víctor Álvarez, Rodrigo Mena, Pablo Viveros, Fredy Kristjanpoller

Publikováno v: Machines, Vol 12, Iss 1, p 60 (2024)

The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data. Cox’s partial likel

Externí odkaz: https://doaj.org/article/492817f9a08743fda09ce98e1558f2ff

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Akademický článek

Assessing the level of application of physical asset management core practices at water boards in Malawi

Autor: Stanford Sunday Msongole, Rhoda Cynthia Bakuwa, Burnet O'Brien Mkandawire

Publikováno v: Heliyon, Vol 8, Iss 11, Pp e11614- (2022)

This study assesses the level of application of Physical Asset Management (PAM) core practices in Water Boards (WBs) in Malawi. A questionnaire was applied to 141 water supply experts drawn from all WBs in Malawi, and data was analyzed using SPSS V 2

Externí odkaz: https://doaj.org/article/e5d37120b5a64a168991c0692d09a708

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Akademický článek

Physical Asset Management in Equipment-Oriented Industries Using the Equipment Life Cycle Management Approach

Autor: Hassan Adshirinpour, Mohammad Mehdi Movahhedi, Hedieh Divsalar, Shahla Sohrabi

Publikováno v: Tehnički Glasnik, Vol 15, Iss 3, Pp 323-329 (2021)

Proper assets management and maintenance, especially equipment in the value chain of an organization, the failure of which leads to interruptions in the system and waiting in the production line, are very vital and of special importance in "equipment

Externí odkaz: https://doaj.org/article/f01b0e836be84ee1b321b1960778ed5a

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Akademický článek

Presenting the model in improving maintenance and excellence in organizational culture and reliability in Iran tile and ceramic industries

Autor: Pezeshkian, Alireza, Hamidi, Naser

Publikováno v: Journal of Quality in Maintenance Engineering, 2019, Vol. 26, Issue 3, pp. 369-382.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/JQME-06-2018-0051

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Akademický článek

Optimizing Predictive Maintenance Decisions: Use of Non-Arbitrary Multi-Covariate Bands in a Novel Condition Assessment under a Machine Learning Approach

Autor: David R. Godoy, Víctor Álvarez, Mónica López-Campos

Publikováno v: Machines, Vol 11, Iss 4, p 418 (2023)

Jointing Condition-Based Maintenance (CBM) with the Proportional Hazards Model (PHM), asset-intensive industries often monitor vital covariates to predict failure rate, the reliability function, and maintenance decisions. This analysis requires defin

Externí odkaz: https://doaj.org/article/65e1f2b50d434a9391bde99aeefade3b

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Akademický článek

A BIA-Based Quantitative Framework for Built Physical Asset Criticality Analysis under Sustainability and Resilience

Autor: Mohsen Aghabegloo, Kamran Rezaie, S. Ali Torabi, Seyed Mohammad Khalili

Publikováno v: Buildings, Vol 13, Iss 1, p 264 (2023)

Asset-intensive industries, such as the construction industry, have experienced major catastrophes that have led to significant operational disruptions. Physical asset failure has been the primary cause of these disruptions. Therefore, implementing p

Externí odkaz: https://doaj.org/article/5604444d854b46ebb872a502a17b3a90

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Akademický článek

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