SHAFT MISALIGNMENT PREDICTION ON BASIS OF DISCRETE WAVELET TRANSFORM

In different kind of industries like automobile, ship building, manufacturing, textile industry, rotating machinery are observed in major stake. In due course of time it approaches to service condition due to unbalance, misalignment, insufficient lubrication, bearing fault etc. It is seen that misalignment caused in rotating machinery is major contributing part of annual maintenance of industry. During installation of machine though alignment in static condition is ensured, misalignment gets introduced in due course of time of service period. Several attempts are made for analysis of misaligned shaft in rotating machinery using Fast Fourier Transform (FFT). The FFT is effective in analysis of vibration signals with frequency domain. It has a constraint in reveling data from non-stationary signals. It is ineffective in multilevel signal decomposition of vibration signals. This constraint can be minimized by using Discrete Wavelet Transform (DWT).Selection of appropriate mother wavelet is mainly focused in DWT analysis. Different mother wavelets are compared for different output condition in the form of vibration signals. Exact selection of mother wavelet helps in predicting misalignment involved in any unknown system whose aligned condition is to be checked. It is observed that result obtained with this approach are very well in close proximity