Risk Factor Analysis of Elevator Brake Failure Based on DEMATEL-ISM
Source abstract
Abstract
With the acceleration of urbanization process, the number of elevators in China has surged. Concurrently, the prevalence of older elevators has increased, leading to a rise in frequent malfunctions. In recent years, there has been a troubling frequency of elevator accidents resulting in casualties, which has had a negative social impact. The elevator braking system is crucial for ensuring the safe operation of the elevator, and brake failure is a significant contributor to elevator accidents. The failure modes of elevator brakes are complex and diverse, and the failure risk factors are mixed, correlated and unknown. Therefore, this paper is based on the Failure Mode and Effects Analysis (FMEA), focusing on the structural characteristics of the elevator brake to determine the equipment failure risk factors. Based on the accident prevention theory model (24Model) for comprehensive analysis of internal and external causes, this study identifies the comprehensive failure risk factors for elevator brakes. The study employs affiliation function to build the failure risk factor indicator system, the use of the Decision-making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) methods to analyze the hierarchical structure and internal relationship between the factors. Based on the research results, the factors contributing to the failure of elevator drum brakes can be identified and the interrelationships among these factors can be systematically elucidated. This analysis can serve as a valuable tool in pinpointing critical areas for routine elevator maintenance and upkeep, with the aim of minimizing the likelihood of drum brake malfunctions. Furthermore, the insights gained can inform the design and implementation of elevator monitoring and management systems, enabling a clearer focus on pertinent factors. Ultimately, this study furnishes a theoretical framework for the prevention and mitigation of such accidents.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Elevator Systems and Control · Evaluation and Optimization Models · Evaluation Methods in Various Fields
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Special Equipment Inspection & Research Institute, Beijing 100029, China
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Funding
National Key R&D Program of China · Beijing Natural Science Foundation · Science and Technology Program of the State Administration for Market Regulation · Science and Technology Program of CSEI
References (34)
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