Elevator health evaluation based on operational state analysis and D-ANP method

Abstract

Elevator is an important part of modern life. A reasonable health evaluation plays an important role in avoiding elevator failures and ensuring the safety and normal operation of elevators. This paper establishes an index system for comprehensively evaluating the performance of elevators by analyzing the structure of elevators. The index system includes 11 detection indicators (including continuous and discrete indicators) that can fully evaluate the health status of elevators. By monitoring the running signals of elevators through professional elevator testing equipment and extracting multiple time-domain and frequency-domain features, different methods are used to evaluate discrete and continuous variables based on the different characteristics of different types of indicators: continuous variables are evaluated based on statistical quality control ideas, and discrete variables are evaluated based on standards and historical data, and the evaluation scores of each indicator are obtained. Finally, Decision-Making Trial and Evaluation Laboratory and Analytical Network Process (called D-ANP) is used to clarify the relationship between each indicator, calculate the weight of each indicator in the system and obtain the comprehensive evaluation score of elevator health. And this evaluation model is applied to actual experimental applications, evaluating and assessing experimental elevators with different health levels, verifying the effectiveness of this model. The results show that the proposed method has good applicability and is expected to be applied to daily elevator maintenance and inspection, playing a promoting role in the field of elevator health evaluation and maintenance.