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Considering the issues that the relationship between the fault of screw oil pump existent and fault information is a complicated and nonlinear system, and the wavelet neural network has the advantages of both wavelet analysis and neural network, a fault diagnosis system with self-repair function for screw oil pump based on wavelet neural network is presented in this paper. Moreover, we adopt a method...
Considering the issues that the sewage treatment process is a complicated and nonlinear system, it is very difficult to found the process model to describe it, and the key parameter of sewage treatment quality can not be detected on-line, a soft sensor modeling method based on wavelet neural network is presented. The wavelet network structure for soft sensor of sewage treatment quality is established...
The membrane bioreactor (MBR) is a new technology of sewage treatment combining the membrane with the bioreactor, but the membrane fouling is an important factor to limit the MBR further development. Considering the issues that the relationship between the membrane fouling and affecting factors is a complicated and nonlinear, a modeling method based on wavelet neural network is presented. We adopt...
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and extracted multi-attribute parameters from time domain and frequency domain, then we selected the key attribute parameters that have bigger correlativity...
A detection system of oil tube defect based on wavelet neural network is presented, it got the original information by multigroup vortex sensors and leakage magnetic sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and extracted multi-attribute parameters from time domain and frequency domain, then we selected the key attribute parameters that have...
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