Proposing a framework for reliability estimation using a proportional hazards model based on diesel engine condition monitoring data

Miraee, Mohammad Reza; Ramezani, Saeed; Soltanali, Hamzeh

doi:10.48313/jqem.2024.214729

Proposing a framework for reliability estimation using a proportional hazards model based on diesel engine condition monitoring data

Document Type : Original Article

Authors

Mohammad Reza Miraee

Saeed Ramezani

Hamzeh Soltanali

Department of Industrial Engineering, Faculty of Engineering, Imam Hossein University, Tehran, Iran.

https://doi.org/10.48313/jqem.2024.214729

Abstract

Purpose: This study aims to improve diesel engine reliability estimation by using a risk-based model that incorporates key environmental factors, especially wear particles in engine oil, for more accurate analysis than traditional time-based methods.
Methodology: The Proportional Hazards Model (PHM) was used to assess engine reliability based on wear particles in oil. The Harrell and Lee test checked model assumptions, and the Wald test validated coefficients. Reliability was then compared across two engine groups under different conditions.
Findings: The study's results showed that incorporating risk factors, such as the level of wear particles in engine oil, increases the accuracy of reliability estimation for diesel engines. Specifically, it was found that engine age, maintenance status, and operational conditions significantly impact reliability, such that worn-out engines reach lower levels of reliability more quickly. The proposed model, by providing a more precise analysis, can serve as an effective tool for optimizing maintenance scheduling and preventing unexpected failures in industrial systems.
Originality/Value: This research's primary distinction lies in the integration of qualitative data related to the internal condition of the engine (wear particles in oil) with advanced statistical models of PHM, which has been less addressed in previous studies. This approach, by creating a link between condition-based data analysis and reliability analysis, opens new horizons for condition-based maintenance planning.

Keywords

Reliability

Proportional hazards model

Condition monitoring of diesel engines

Oil analysis

Weibull distribution

Operational condition assessment of diesel engines

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