Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

In the intelligent manufacturing of furniture, the power signal has the characteristics of low cost and high accuracy and is often used as a tool wear condition monitoring signal. However, the power signal is not very sensitive to tool wear conditions. The present work addresses this issue by propos...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Applied Sciences
المؤلفون الرئيسيون:	Weihang Dong, Xianqing Xiong, Ying Ma, Xinyi Yue
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2021-09-01
الموضوعات:	tool wear milling parameters power signals particle swarm optimization back propagation neural network
الوصول للمادة أونلاين:	https://www.mdpi.com/2076-3417/11/19/9026

مواد مشابهة

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