电梯
钥匙(锁)
断层(地质)
组分(热力学)
计算机科学
噪音(视频)
减震器
信号(编程语言)
机械系统
可靠性工程
汽车工程
工程类
结构工程
计算机安全
人工智能
地质学
图像(数学)
程序设计语言
地震学
热力学
物理
标识
DOI:10.1109/safeprocess52771.2021.9693580
摘要
Fault diagnosis of key mechanical components is an important method to ensure the safety and comfort of passengers. This research aims at monitoring the conditions of key mechanical components. A fault diagnosis system is proposed to overcome difficulties of strong noise and indirect signal acquisition. The operating data of elevator are collected in real-time, which is analyzed to obtain the micro shock signal caused by mechanical component damage. Furthermore, the intelligent fault diagnosis is conducted for elevator key mechanical components. The diagnosis results could guide the elevator maintenance effectively, and satisfy the safety and comfort requirements of passengers.
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