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

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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.

Language:
Persian
Published:
Journal of Quality Engineering and Management, Volume:14 Issue: 1, Spring 2024
Pages:
1 to 17
https://www.magiran.com/p2858321  
سامانه نویسندگان
  • Author (2)
    Saeed Ramezani
    Assistant Professor Department of Industrial Engineering, Faculty of Technology and Engineering, Imam Hossein University, Imam Hossein University, Tehran, Iran
    Ramezani، Saeed
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)