Vibration faults detection using wireless and neural network

الملخص

The maintenance cost is the main challenge of the industrial environment especially that related to the expansive machine.
Many faults caused damage to the machine as the oil flow, pressure, vibration, and temperature. The vibration fault of the
rotating machine is producing damage if been in the danger zone. In this work, the vibration fault of the induction motor
has been detected and classified based on wireless and artificial intelligence techniques. The C++ code was utilized to
design and implement the wireless sensor, while the MATLAB code was used for the constructed artificial intelligent part.
The results showed that the vibration error can be detected early if the beam length is reduced in the wireless sensor. The
system can be used with other types of machines based on the training of new neural networks to obtain new information to
reduce detection time and classification.