Fault diagnosis of industrial robot gears based on discrete wavelet transform and artificial neural network

@article{Jaber2016FaultDO,
  title={Fault diagnosis of industrial robot gears based on discrete wavelet transform and artificial neural network},
  author={Alaa Abdulhady Jaber and Robert Bicker},
  journal={Insight},
  year={2016},
  volume={58},
  pages={179-186}
}
Industrial robots have long been used in production systems in order to improve productivity, quality and safety in automated manufacturing processes. An unforeseen robot stoppage due to different reasons has the potential to cause an interruption in the entire production line, resulting in economic and production losses. The majority of the previous research on industrial robots health monitoring is focused on monitoring of a limited number of faults, such as backlash in gears, but does not… Expand
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