Development of a Condition Monitoring Algorithm for Industrial Robots based on Artificial Intelligence and Signal Processing Techniques

Abstract

Signal processing plays a significant role in building any condition monitoring system. Many types of signals can be used for condition monitoring of machines, such as vibration signals, as in this research; and processing these signals in an appropriate way is crucial in extracting the most salient features related to different fault types. A number of signal processing techniques can fulfil this purpose, and the nature of the captured signal is a significant factor in the selection of the appropriate technique. This chapter starts with a discussion of the proposed robot condition monitoring algorithm. Then, a consideration of the signal processing techniques which can be applied in condition monitoring is carried out to identify their advantages and disadvantages, from which the time-domain and discrete wavelet transform signal analysis are selected.

A review on sparse fast fourier transform applications in image processing

“…Fourier Transform is first introduced by Jean Baptiste Joseph Fourier [1] to solve the computational complexity in wide varities of fields including earth and science, chemistry, communications, and signal processing [2][3][4][5]. In signal processing, Fourier Transform [6][7][8][9][10][11] has long been established as an instrumental tool applied in electrical signal spectrum and filter analysis, sampling and series, antenna, television image convolution as well as radio broadcasting [1].…”

Research on static and dynamics mechanical characteristics of flexible bearing in harmonic reducer

“…The steering movement of the wheeled soccer robot is controlled by artificial intelligence control algorithm. Jaber and Bicker 5 built a condition monitoring system of industrial robots based on signal processing. Vibration signals are used to study the failure analysis and fault detection of industrial robots.…”

Robot navigation in unknown environment with obstacle recognition using laser sensor

“…Tool based learning for robots is presented by [9]. In case of industrial robots, an algorithm for condition monitoring using artificial intelligence is studied in [10]. An algorithm for obstacles avoidance in unknown environment using bumper events of the robot is proposed in [11].…”