Fault Mode Analysis on Fiber Laser

WU Di; GE Ting-wu; QIN Wen-bin; CAO Kang; YAN An-ru; CAO Yin-hua; WANG Zhi-yong

doi:10.3788/fgxb20183907.1002

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Fault Mode Analysis on Fiber Laser

更新时间：2020-08-12

- Fault Mode Analysis on Fiber Laser
- Chinese Journal of Luminescence Vol. 39, Issue 7, Pages: 1002-1007(2018)
- 作者机构：
  
  北京工业大学激光工程研究院北京,100020
- 作者简介：
- 基金信息：
  
  Supported by Science and Technology Research Plan of Beijing City(Z171100004417003)
- DOI：10.3788/fgxb20183907.1002
  CLC： TN248.4
- Received：21 October 2017，
  
  Revised：11 January 2018，
  
  Published Online：13 March 2018，
  
  Published：05 July 2018
- 稿件说明：
移动端阅览
吴迪, 葛廷武, 秦文斌等. 光纤激光器故障模式分析[J]. 发光学报, 2018,39(7): 1002-1007

WU Di, GE Ting-wu, QIN Wen-bin etc. Fault Mode Analysis on Fiber Laser[J]. Chinese Journal of Luminescence, 2018,39(7): 1002-1007
吴迪, 葛廷武, 秦文斌等. 光纤激光器故障模式分析[J]. 发光学报, 2018,39(7): 1002-1007 DOI： 10.3788/fgxb20183907.1002.

WU Di, GE Ting-wu, QIN Wen-bin etc. Fault Mode Analysis on Fiber Laser[J]. Chinese Journal of Luminescence, 2018,39(7): 1002-1007 DOI： 10.3788/fgxb20183907.1002.

摘要

为满足实际工程、生产应用中专业及非专业人员对故障光纤激光器快速修理、修复的需要，研究了一种能够实现快速故障模式及故障原因分析系统。首先，采集实际使用与实验中损坏激光器的故障模式与故障原因记录为数据样本。接着，利用故障树与故障模式影响及危害性分析模型建立光纤激光器扩展故障树，即构建起故障模式与故障原因的对应关系。然后，利用贝叶斯网络分析并得出各故障模式与故障原因的先验概率与后验概率计算方法，再使用Python语言编写交互式窗口，并完成对数据库数据的调用与相应概率计算。最后，通过交互式界面输出当前故障对应的可能故障原因及发生概率，从而实现对光纤激光器故障的快速分析。程序模拟耗时小于1 s，模拟结果与统计结果相吻合，基本满足指导相关人员对故障快速排查并修理的要求。

Abstract

In order to meet the needs of professional and nonprofessional personnel about fast repairing the fault fiber laser in the practical engineering and production applications

a fast fault mode and fault cause analysis system was reaearched. First

the fault mode and fault cause of the damaged laser in actual use were collected as samples. The extended fault tree of fiber laser was established by the fault tree analysis and failure mode effect criticality analysis

i.e

. the corresponding relationship between failure mode and fault cause was constructed. Then

Bayesian network was used to analyze and obtain the prior probability and posterior probability of each failure mode and fault cause. Using Python to write interactive window and call database data

the corresponding probability was calculated. Finally

the possible fault mode and correspond probability were output through interactive interface

so as to achieve rapid analysis of fiber laser fault. The analysis system simulation results coincide with the reality

calculating less than 1 s

so the system can basically meet the relevant personnel to guide the rapid troubleshooting and repair requirements.

关键词

Keywords

references

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