Abstract
Fault tree analysis is often used in elevator fault diagnosis because of its simplicity and reliability. However, the traditional fault tree method has the problems of low efficiency due to ignoring location change of bottom events during troubleshooting. This paper proposes a rapid diagnosis method based on multiattribute decision making to solve the problem. The fault tree of the elevator system is constructed based on expert knowledge and multisource data, and the location-related matrix is constructed according to the complex vertical structure of the elevator. Then, the attributes of bottom events such as the failure probability, search cost, location time cost, and location-related attributes are comprehensively analyzed in this paper. Finally, the TOPSIS method for dynamic attributes is used based on the work above to achieve the optimal troubleshooting sequence of elevator vibration fault. The results show that the proposed method is more efficient when compared to the optimal troubleshooting sequence obtained by the traditional method.
Highlights
With the rapid development of urban construction, the usage of elevators is increasing
Statistics show that the time used to find faults in complex electromechanical systems accounts for more than 60% of the entire repair time, and the time spent to directly troubleshoot takes less than 40%. erefore, improving the diagnostic efficiency of the elevator can significantly reduce the economic loss and the injury to passengers
It is of great significance to develop and study the reasonable order of fault inquiry for elevator fault diagnosis
Summary
With the rapid development of urban construction, the usage of elevators is increasing. Xia et al [8] applied a new method based on fuzzy set theory to fault tree analysis to quantify the failure probability of basic events, which overcomes the difficulty of obtaining failure probability to a certain extent, but the factors involved in troubleshooting are more one-sided. He et al [9] combined the fault tree analysis and TOPSIS methods to comprehensively analyze the structural importance, probability importance, and critical importance of the minimum cut set but ignored the maintenance cost. According to the theory of the fault tree analysis method, if the failure probability of each bottom event is equal, the troubleshooting order is sequential search until the fault location and cause are found; if the failure probability is different, the search is performed according to the failure
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