4.7 Article

Chasing the Cut: A Measurement Approach for Machine Tool Condition Monitoring

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2020.3047939

Keywords

Cyclostationarity; diagnostics; integrated electronic piezoelectric (IEPE); Internet of things (IoT); spectral coherence; tool condition monitoring (TCM); WiFi

Funding

  1. Office of Naval Research Structural Acoustics Program
  2. Fulbright Foundation

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This article introduces an instrumentation and measurement solution for tool condition monitoring, proposing a non-intrusive sensor installation or modification approach through a signal processing algorithm and instrumentation hardware, driven by the cyclostationary properties of machine vibration signals for fault detection.
Often, the condition of a machine tool is detected indirectly in the reduced quality of manufactured parts upon visual inspection. Reliable and efficient machine tool condition monitoring is indispensable for manufacturing. Furthermore, issues affecting machine tools are closely related to pathologies associated with many other industrial electromechanical systems. An instrumentation and measurement solution for tool condition monitoring is presented in this article. A signal processing algorithm and instrumentation hardware are proposed to avoid intrusive sensor installations or modifications of the machine under test. The cyclostationary properties of machine vibration signals drive fault-detection approaches in the proposed sensing hardware and signal processing chain. A sample of end mills from an industrial facility is used to validate the tool condition monitoring system.

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