CAJ | 학술논문

提出基于dbN小波算子小波变换分解行星齿轮故障特征的故障检测算法，算法可以在轻微损坏时就较好地判断出齿轮故障。通过分析行星齿轮的故障成型，以及故障的冲击振动传播路径，建立其故障模型，在利用小波变换方法对其故障信号进行分析，检测方法可以较好地进行故障识别与检测，对比传统的傅里叶变换，新算法可以对微弱信号识别，能同时判断缺陷轮齿的频率和出现的时间，在排除故障时能准确分析故障位置，以及故障类型。仿真实验表明改进算法小波变换，具有弱信号检测能力强，准确判断故障出现时间，为尽早发现故障与解决故障问题提供了保障，故障检测概率提高了15%。具有较好的工程实用性。
제출기우dbN소파산자소파변환분해행성치륜고장특정적고장검측산법，산법가이재경미손배시취교호지판단출치륜고장。통과분석행성치륜적고장성형，이급고장적충격진동전파로경，건립기고장모형，재이용소파변환방법대기고장신호진행분석，검측방법가이교호지진행고장식별여검측，대비전통적부리협변환，신산법가이대미약신호식별，능동시판단결함륜치적빈솔화출현적시간，재배제고장시능준학분석고장위치，이급고장류형。방진실험표명개진산법소파변환，구유약신호검측능력강，준학판단고장출현시간，위진조발현고장여해결고장문제제공료보장，고장검측개솔제고료15%。구유교호적공정실용성。
An improved fault detection and feature extraction algorithm was proposed based on dbN wavelet transform and decomposition for detecting the tiny fault of the gear. The principle of fault diagnosis and the vibration mechanism of the planetary gear were analyzed firstly, and the route of transmission of the vibration was researched, the fault diagnosis detec-tion model was built. The fault signal was analyzed based on the wavelet transform. Comparing to the traditional method, the new method could detect and recognize the weak signal and also it could recognize both of the frequency and time for the defects and fault gear, so the new method could diagnose the tiny and weak fault effectively. Simulation result show that has nice performance in the tiny fault diagnosis and the detection precision is improved by 15%. Research result has good application value in the aero engine detection engineer.