ArticleSensors (Basel, Switzerland)2019
Machined Surface Quality Monitoring Using a Wireless Sensory Tool Holder in the Machining Process.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Performance Analysis of Advanced Feature Extraction Methods for Manufacturing Defect Detection via Vibration Sensors in CNC Milling Machines.Sensors (Basel, Switzerland) · 2026Article
- Tool Condition Monitoring for High-Performance Machining Systems-A Review.Sensors (Basel, Switzerland) · 2022Review
- Analysis of the Machining Process of Inconel 718 Parts Manufactured by Laser Metal Deposition.Materials (Basel, Switzerland) · 2019Article
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Authors and funding
3 authors.
Funding
Abstract
The quality of a machined surface plays a critical role in assembly performance, especially for precise matching parts, and therefore it is necessary to develop a surface quality monitoring system in the machining process. In this paper, an indirect surface quality monitoring approach is proposed with a wireless sensory tool holder. First, experimentation is conducted to collect the machining process signals from the tool holder. Then, the time domain, frequency domain and time-frequency domain features are extracted, and the deep forest algorithm is adopted to identify the surface quality, which is evaluated through the surface average parameter. Finally, the results of the experiment and the comparisons with other approaches demonstrate the effectiveness of the proposed method, which could be applied to ensure the surface quality, improve the machining efficiency and reduce the rejection rate of the machining process.
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Registered trials
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