Risk-Based Threshold on Intensity Function of Repairable Systems: A Case Study on Aero Engines

被引:0
作者
Sharma, Garima [1 ]
Rai, Rajiv Nandan [1 ]
机构
[1] Indian Inst Technol, Subir Chowdhury Sch Qual & Reliabil, Kharagpur, W Bengal, India
关键词
Risk-based intensity function; repairable systems; imperfect maintenance; military aviation; high failure rate components; generalized renewal process; RENEWAL PROCESS; RELIABILITY; MAINTENANCE; AIRCRAFT; MODELS; POLICY;
D O I
10.1142/S0218539321500200
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Maintenance, repair and overhaul (MRO) facilities deal with situations where repairable systems and its components are required to be designated as high failure rate components (HFRCs). The shortlisted HFRCs are then selected for reliability improvement. The procedure of short listing components as HFRCs is commonly based on experts' field experience or number of failures. In case of organizations dealing with complex and critical repairable systems like military aviation (MA) and nuclear industries, the subjectivity in the short listing of HFRCs can lead to prolonged unavailability of equipment and may incur financial loss. Thus, a scientific methodology is required to be developed for HFRC designation. The paper develops a methodology for HFRC designation through risk-based threshold on intensity function by considering combat aircraft engines as a case. To develop the threshold methodology, the paper uses generalized renewal process (GRP) for multiple repairable systems (MRS) considering both corrective and preventive maintenance as imperfect. The proposed methodology is duly validated with the help of field failure data of two variants of the same aero engine of a particular combat aircraft. The developed methodology in this paper is highly inspired by the problems faced by the various industries while operating the repairable systems and can be extended for systems which undergo periodic maintenance, repair and overhaul.
引用
收藏
页数:17
相关论文
共 39 条
  • [1] OPTIMAL RANDOM AGE REPLACEMENT FOR AVAILABILITY
    Angus, John E.
    Yin, Meng-Lai
    Trivedi, Kishor
    [J]. INTERNATIONAL JOURNAL OF RELIABILITY QUALITY & SAFETY ENGINEERING, 2012, 19 (05)
  • [2] [Anonymous], 2013, EL ENG SOFTW APPL IC
  • [3] Risk factors for musculoskeletal injuries in airline maintenance, repair & overhaul
    Asadi, Hamed
    Yu, Denny
    Mott, John H.
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2019, 70 : 107 - 115
  • [4] Barros A., 2002, International Journal of Reliability, Quality and Safety Engineering, V9, P127
  • [5] Dynamic Risk-Based Maintenance for Offshore Processing Facility
    Bhandari, Jyoti
    Arzaghi, Ehsan
    Abbassi, Rouzbeh
    Garaniya, Vikram
    Khan, Faisal
    [J]. PROCESS SAFETY PROGRESS, 2016, 35 (04) : 399 - 406
  • [6] Bolia Nomesh, 2013, International Journal of Performability Engineering, V9, P295
  • [7] On innovative stochastic renewal process models for exact unavailability quantification of highly reliable systems
    Bris, Radim
    Byczanski, Petr
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2017, 231 (06) : 617 - 627
  • [8] Crow L., 1975, RELIABILITY ANAL COM
  • [9] Optimal maintenance policy incorporating system level and unit level for mechanical systems
    Duan, Chaoqun
    Deng, Chao
    Wang, Bingran
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (05) : 1074 - 1087
  • [10] Ebeling C.E., 2004, INTRO RELIABILITY MA