Integration of Condition Based Maintenance with Energy Efficiency

Abstract Every industry wants to complete the demand of the products in the given timeline. To complete the demand of the products, the machineries must be in the good working condition. Preventive maintenance, autonomous maintenance and condition-based maintenance are used to bring the condition of the deterioration of the machine to normal condition. The condition-based maintenance is used to determine the actual condition of the machine components at regular interval and this is used to make a decision when to go for a preventive maintenance or a corrective maintenance. A mathematical model is developed on the basis of deterioration of the machine components. Similarly, a mathematical model is developed to optimize the total cost which comprises of visual inspection cost, preventive maintenance cost, corrective maintenance cost and downtime cost. This mathematical model is implemented on a real life case study problem of a sugar crusher. The performance is verified.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-27
DOI
https://doi.org/10.5281/zenodo.15819959
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
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Integration of Condition Based Maintenance with Energy Efficiency

Zenodo (CERN European Organization for Nuclear Research)
Reliability and Maintenance Optimization
article

Integration of Condition Based Maintenance with Energy Efficiency

article en

Abstract

Abstract Every industry wants to complete the demand of the products in the given timeline. To complete the demand of the products, the machineries must be in the good working condition. Preventive maintenance, autonomous maintenance and condition-based maintenance are used to bring the condition of the deterioration of the machine to normal condition. The condition-based maintenance is used to determine the actual condition of the machine components at regular interval and this is used to make a decision when to go for a preventive maintenance or a corrective maintenance. A mathematical model is developed on the basis of deterioration of the machine components. Similarly, a mathematical model is developed to optimize the total cost which comprises of visual inspection cost, preventive maintenance cost, corrective maintenance cost and downtime cost. This mathematical model is implemented on a real life case study problem of a sugar crusher. The performance is verified.

Zenodo (CERN European Organization for Nuclear Research)
Savitribai Phule Pune University (IN)
Affordable and clean energy
Openalex Percentile: Top 47%
Reliability and Maintenance Optimization
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