Component failure recognition and maintenance optimization for offshore heave compensation systems based on importance measures |
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| Affiliation: | 1. School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China;2. Department of Electrical & Computer Engineering, University of Massachusetts, Dartmouth, MA 02747, USA;3. School of Mechatronics Eng., University of Electronic Science & Technology of China, Chengdu 611731, China;4. Department of System Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China;1. School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China;2. School of Mechanical Engineering, Northwestern Polytechnical University, Xi''an 710072, China;3. Kent Business School, University of Kent, Canterbury, Kent CT2 7PE, United Kingdom;4. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong;1. School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China;2. School of Mechanical Engineering, Northwestern Polytechnical University, Xi''an 710072, China;3. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, Hong Kong |
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| Abstract: | Heave compensation systems work to reduce the influence of unpredictable marine environments on offshore operations and are powered by hydraulic systems. As an important approach in the reliability field, importance measure assesses the impact of components on a system. This paper considers the importance of hydraulic system components for system performance. By analyzing the working state of each component in the passive compensation and active compensation phases, the working principle of the hydraulic system of a semi-active heave compensation experimental system is explained. According to the actual design of the experimental system and its working principle, eight types of 27 components, whose failures affect the performance, are extracted. The servo valve and the accumulator are determined to be redundant while the other components are nonredundant. Two performance-related importance measures, Griffith importance measure (GIM) and integrated importance measure (IIM), are then applied to sort the components of the hydraulic system and determine the maintenance sequence. Finally, based on the IIM value and the maintenance cost of each component, optimization strategies are proposed under different conditions using total cost and time as independent variables. |
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| Keywords: | Importance measure Heave compensation system Hydraulic system Optimization strategy |
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