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Research On Loose Fault Diagnosis Of Light-rail's Screws Based On Vibration Signal Multiple Features Analysis Method

Posted on:2009-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:Q WangFull Text:PDF
GTID:2132360272974572Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Those screw anchors assembled on Light-Rail of Chongqing are the key research objects of this paper. Since they are the most important part to connect piers and girders of Light-Rail, their health condition to the safe operation of Light-Rail plays the vital function. Therefore, a monitoring operation must be taken to make sure that all those screw anchors works in normal.This paper reviewed and summarized the screw anchor's vibration signal data acquisition system which had been achieved by predecessors. This automatic acquisition system's hardware and software design methods were also introduced in detail.In order to implement the diagnosis of Chongqing Light-rail's work field screws, a diagnosis measurement system is established and the algorithm based on the multiple features has been researched. First, get every screw's vibration signal under different pre-tightening force. Second, calculate their impulse response signal. After extract some characters, such as the time-frequency distribution features, Wave-packet model features and etc, from the trained vibration signal of experimental screws, the characters can be used as a kind of criteria in diagnosis of these work field screws. Finally, the measurement system based on multiple features will also bring out the result report of corresponding screw.Experimental result indicates that the misclassification ratio is less than 7%, it proves this method can meet the requirement of Chongqing Light-rail's work field screws'loose fault diagnosis.
Keywords/Search Tags:Light-Rail screw anchors, Fastening nut, Vibration Signal, Multi-Feature Extraction, Health diagnosis
PDF Full Text Request
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