Abstract
Scientific and effective supportability mechanisms have a profound impact on large-scale electromechanical systems and improve their performance quality, while decreasing costs. However, the contradiction between the static supportability strategy and time-varying performance quality conditions remains not sufficiently resolved. To solve this problem, this paper proposes a performance quality condition-based dynamic supportability mechanism. First, model-driven risk identification and control chart-based pattern recognition were used to trigger the dynamic allocation of the limit supportability resource. Second, the performance quality mode and effect analysis and the multiagent collaborative chain were defined to identify the resource lists of maintenance activities. Third, a general control framework was constructed to evaluate the compliance and applicability of maintenance activities. This study formulated a dynamic supportability mechanism for performance quality with a closed loop of activity triggering, resource guarantee, and maintenance effectiveness evaluation. As an expansion and improvement of condition-based maintenance, the dynamic supportability mechanism overcomes the several drawbacks of the existing supportability mechanisms of large-scale electromechanical systems. The proposed mechanism also advances the integration of management and technology in comprehensive supportability. Therefore, the proposed mechanism and methods can be flexibly and efficiently used for the dynamic supportability of electromechanical systems. Moreover, this study provides insights into risk identification, macro pattern recognition and process control and can be used for other engineering applications.
Highlights
Modern production systems, such as large-scale energy and power equipment, high-end compressor units and precision machine tools, can be considered typical large-scale electromechanical systems [1], [2]
Improvement of maintenance tools, development of condition inspection and fault diagnosis technologies, and innovation of maintenance theory, maintenance mechanisms can be classified into two categories: preventive maintenance and corrective maintenance [3]
The main contributions of this work are: (1) the supportability resource and performance quality conditions are dynamically integrated, which implements condition-based resource allocation; (2) the maintenance activities and resource guarantee are dynamically integrated, which formulates the resource foundation for actual maintenance work; and (3) the maintenance activities and effectiveness control are dynamically integrated, which constructs a closed loop of dynamic events
Summary
Modern production systems, such as large-scale energy and power equipment, high-end compressor units and precision machine tools, can be considered typical large-scale electromechanical systems [1], [2]. The advantages of CBM lie in mastering the performance condition of systems, detecting exceptions, and performing timely initiation of the corresponding measures to prevent the occurrence of more faults by strengthening and perfecting the monitoring means This process greatly decreases the fault rate, maintenance cost, and workload while improving system reliability. The limited supportability resources were dynamically reallocated and associated with the performance quality conditions via both model-driven risk identification and control chart-based pattern recognition. The proposed work formulated a dynamic supportability mechanism for performance quality with a closed loop integrating dynamic allocation, resource guarantee, and effectiveness evaluation of maintenance. The main contributions of this work are: (1) the supportability resource and performance quality conditions are dynamically integrated, which implements condition-based resource allocation; (2) the maintenance activities and resource guarantee are dynamically integrated, which formulates the resource foundation for actual maintenance work; and (3) the maintenance activities and effectiveness control are dynamically integrated, which constructs a closed loop of dynamic events.
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