Monitoring Tool Condition with Acoustic and Vibration Signals Using IOT
Ganesh Kumar S, Manoj S · 2023
This article reviews the recent advances in the field of monitoring tool condition using acoustic and pulse signals. Specifically, the research focuses on the development and application of signal processing techniques to extract valuable information from acoustic and pulse signals generated by cutting tools during machining operations. To this end, the literature is reviewed with emphasis on the signal acquisition and analysis techniques used in the field. Additionally, the article presents a comprehensive overview of the existing methods and techniques used to monitor tool conditions, including signal analysis techniques, feature extraction techniques, and classification techniques. Furthermore, the article discusses the challenges associated with acoustic and pulse-based TCM, including signal noise and impurities, signal acquisition, feature extraction, and classification. The review concludes with a discussion of the possible future directions in the field. The use of acoustic and pulse signals to monitor the condition of cutting tools has become increasingly popular in recent years. In order to extract useful information from the signals generated by cutting tools, sophisticated signal processing techniques are required. In this article, a comprehensive review of the existing methods and techniques used to monitor tool conditions is presented. Various signal acquisition and analysis techniques are discussed, as well as feature extraction and classification methods. Additionally, the article delves into the challenges associated with acoustic and pulse.