计算机应用 ›› 2012, Vol. 32 ›› Issue (06): 1692-1695.DOI: 10.3724/SP.J.1087.2012.01692

• 人工智能 • 上一篇    下一篇

基于有限状态机的电梯控制系统故障诊断方法

包健,魏丽娜,赵建勇   

  1. 杭州电子科技大学 计算机学院,杭州 310018
  • 收稿日期:2011-11-21 修回日期:2012-01-09 发布日期:2012-06-04 出版日期:2012-06-01
  • 通讯作者: 包健
  • 作者简介:包健(1962-),女,浙江温州人,教授,博士,CCF高级会员,主要研究方向:智能控制、优化算法、嵌入式系统;〓魏丽娜(1987-),女,江西抚州人,硕士研究生,主要研究方向:嵌入式故障诊断、智能软件;〓赵建勇(1980-),男,浙江缙云人,实验师,硕士,主要研究方向:嵌入式系统。
  • 基金资助:
    浙江省公益技术应用研究项目

Fault diagnostic method of elevator control system based on finite state machine

BAO Jian,WEI Li-na,ZHAO Jian-yong   

  1. College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China
  • Received:2011-11-21 Revised:2012-01-09 Online:2012-06-04 Published:2012-06-01
  • Contact: BAO Jian

摘要: 针对电梯控制系统软故障样本获取困难及产生时间短暂的问题,提出一种基于状态机的故障诊断方法。利用电梯控制开关量和电梯运行模拟量作为状态机的状态特征,在电梯正常运行过程中收集各状态并记录状态转换,以此建立电梯控制系统的规范模型;改进基于有限状态机的被动测试错误检测算法,对待诊断的电梯控制系统进行故障检测/诊断;并不断地确认新的故障情况,完善规范模型。实验结果表明,该方法可以及时检测出未知情况,也可以有效地诊断已知故障,对电梯控制系统瞬间出现的软故障有很好的监督作用。

关键词: 电梯控制系统, 状态机, 软故障, 错误检测, 故障诊断

Abstract: The soft fault samples of the elevator control system are difficult to obtain and their generated time is always short. To solve the problem, this paper proposed a fault diagnosis method based on Finite State Machine (FSM). The switch variables and analog variables of elevator were taken as the state characteristics of FSM. The diagnostic system collected and recorded various states and transitions between states during the normal operation of elevator. Base on this operation a specification model of elevator control system could be built. To detect and diagnose faults of elevator control system, the passive test error detect algorithm based on FSM was adopted and optimized. The last step was to verify new faults and complete the specification model. Experimental results show this method can not only detect unknown situations timely, but also diagnose known faults effectively; the method plays a good supervisory role to the transient soft faults of elevator control system.

Key words: elevator control system, state machine, soft fault, fault detection, fault diagnosis