State Monitor And Fault Diagnosis Simulation Of Woodworking Machine Tool On Wavelet Theory

This is paper aims at designing a kind of monitor controller for complicated control objects on woodworking machine tool. We apply wavelet theory and inverse modeling to some woodworking machine tool and put up computer simulation for wiping off yawp and fault diagnosis. Then we distill some useful character for analyzing on the spot, thereby the designing of software and hardware and the relevant system implement are also researched deeply.Applying FTP transformation may acquire adequate precision for dealing with steady variable signal in fault diagnosis of woodworking machine tool field. But FTP transformation can't completely reflect time change characteristic of signal in unsteady process. For solving this problem we adopt wavelet transformation to resolve this problem because of its strong time-frequency analysis characteristic.First we use MATLAB tool software from Math Works company to put up computer simulation because of its strong convenient data handling capability and wavelet toolbox. Thereby on theory prove: 1. Wavelet theory more excellent in wiping off yawp of steady signal and unsteady signal than conventional FTP theory. 2. We can unite time field with frequency to describe time-frequency characteristic of signal and compose time-frequency chart of signal. In disposal of signal process, especially in disposal of unsteady signal process its ability in analyzing the transient signal of neighboring any time is very strong. And then we put up experiments for grinding machinery on the spot. First we collect signals by shake and infrared temperature sensor, transfer them to computer by A/D instrument, dispel zero excursion of sensor and in-linearity of A/D transformation, save them in the form of data file. Then transfer them to MATLAB, analyze and dispose by wavelet function and toolbox. By lot of experiments and data analysis we find distinct change of the character in different fault states. Consequently distinguish accurately the different fault states on the spot. 7...