Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 70, Issue -, Pages -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
- Office of Naval Research Structural Acoustics Program
- Fulbright Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available