Modulation signal bispectrum analysis of motor current signals for online monitoring of turning conditions

Zhexiang Zou, Chun Li, Guoji Shen, Dongqin Li, Fengshou Gu, Andrew David Ball

Research output: Contribution to journalArticlepeer-review

Abstract

Maintaining exceptional product quality and boosting processing efficiency requires precise evaluation of various aspects of the turning process, including the cutting depth, feed rate, and size of the workpiece. This article presents a novel approach for observing the turning process state using modulation signal bispectrum (MSB) and motor current signals. A nonlinear model was established that clarifies the load torque oscillations during turning, which in turn affects the amplitude and phase modulation of the motor stator current. Random noise can be efficiently minimized using the MSB algorithm, allowing the extraction of the current-modulation characteristic sideband phase and amplitude from the collected current signal. This technique enables clear representation and enhanced monitoring of load torque changes throughout the turning process. The proposed method was validated via mathematical simulations and universal lathe tests, with the results indicating that the MSB phase and amplitude values effectively capture both dynamic and static torque alterations during the turning operation, making this approach a valuable tool for overseeing the turning process.
Original languageEnglish
Number of pages11
JournalMeasurement and Control
Early online date23 Nov 2023
DOIs
Publication statusE-pub ahead of print - 23 Nov 2023

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