摘要
针对现有臭氧发生管在故障状况下难以检测处理等问题,设计了一种臭氧发生管故障诊断系统。该系统通过电流互感器对臭氧发生管在拉弧、击穿、进水等故障状况下进行故障特征提取,并对各个状态下的实验数据进行分析处理,通过选用合适的隶属度函数建立模糊集合,制定出故障诊断的判定标准,依据诊断标准对臭氧发生管的工作状态进行实时监测。而对于臭氧发生管在故障等状态下常常发生电流过大的问题,通过过流保护装置实时监测主电路的电流大小,利用D触发器产生同步信号及时关断功率管,从而避免主电路因电流过大而出现无法恢复的损坏。实验结果表明在臭氧装置长时间工作状况下,本系统可实时准确地诊断出臭氧发生管的故障,且在故障未及时处理的情况下主电路不会受到因电流过大而造成的损坏。
According to the difficult test processing of ozonizer in fault condition at present, a sort of ozonizer fault diagnosis was designed in this paper. Fault feature extraction was got by current transformer when ozonizer in fault conditions such as spark-over, breakdown and water influx. Fault diagnosis judge criteria was worked out through the choice of appropriate membership functions to establish fuzzy set which is based on analyzing and processing ex- perimental data for each fault state. So the system can monitor the working state of ozonizer in real-time according to this diagnostic criteria. And over-current protection units were designed for preventing over-current in ozone genera- ting main circuit, while ozonizer in fault condition. So unrecoverable damage was avoided by monitoring the magni- tude of current in main circuit in real-time by shutting down the power switch through synchronized signal generated by D flip-flop in over-current state. The experimental results show that this system can diagnose ozonizer fault in real-time accurately and the main circuit would not be damaged by over-current in long time workin~ condition.
出处
《机械科学与技术》
CSCD
北大核心
2012年第12期2014-2018,共5页
Mechanical Science and Technology for Aerospace Engineering
关键词
故障诊断
特征提取
模糊集合
过流保护
fault diagnosis
feature extraction
fuzzy set
over-current protection
ozonizer
