Availability-based predictive maintenance scheduling for vibrating-grate biomass boilers. Issue 2 (2nd April 2020)

• Record Type: Journal Article
• Authors: Rahdar, Mohammad Hosseini; Nasiri, Fuzhan; Lee, Bruno
• Is Part Of: Safety & reliability. Volume 39:Issue 2(2020)
• Page Start: 165
• Page End: 187
• Publication Date: 2020-04-02
• Subjects: Biomass boiler availability -- fault tree analysis -- maintenance plan -- Weibull regression analysis -- maintenance impact; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Risk assessment -- Periodicals; Industrial safety -- Periodicals; Industrial safety; Reliability (Engineering); Risk assessment; System safety; Electronic journals; Periodicals; 620.00452
• DOI: 10.1080/09617353.2020.1759261
• Languages: English
• ISSNs: 0961-7353

Abstract

Abstract: This paper proposes an availability-based maintenance scheduling for a vibrating-grate biomass boiler. The main objective is to minimise the maintenance programme cost while maintaining the system availability at a targeted level. A modified failure density function was employed to deliberate the effect of maintenance on the reliability of the components. The constant failure rate of the components which yields constant hazard functions were converted to time-dependent hazard functions by means of Weibull regression analysis. The updated failure parameters were examined by Kolmogorov Smirnov tests and the results showed a good agreement with the primary data. A critical factor named maintenance impact plays an important role in optimised scheduling and determines which components have a higher influence on system availability. Fault tree analysis method was engaged to estimate system availability. The results showed 32% reduction in the number of maintenance requirements with the help of modified predictive maintenance management.