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Estimation of tool wear and surface roughness development using deep learning and sensors fusion
Pao Ming Huang,
Ching Hung Lee
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此作品的通信作者
電控工程研究所
電機學院/資訊學院碩士在職專班
研究成果
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同行評審
38
引文 斯高帕斯（Scopus）
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Keyphrases
Surface Roughness
100%
Tool Wear
100%
Deep Learning Fusion
100%
Tool Surface
100%
Deep Sensor Fusion
100%
Sensor Selection
60%
Selection Analysis
60%
Control Parameters
20%
Number of Sensors
20%
Vibration Signal
20%
Estimation Model
20%
Estimation Accuracy
20%
Sensor Fusion
20%
Computational Effort
20%
Estimation System
20%
Estimation Approaches
20%
Machining Parameters
20%
Sound Signal
20%
Fusion Method
20%
Online Monitoring
20%
Computer numerical Control
20%
Sensor Signals
20%
Experimental Design Method
20%
Influence Analysis
20%
1-dimensional Convolutional Neural Network (1D-CNN)
20%
Spindle Motor Current
20%
Uniform Experimental Design
20%
Signal Fusion
20%
Accelerated Experiment
20%
Machining Experiment
20%
Engineering
Sensor Fusion
100%
Deep Learning Method
100%
Design Method
33%
Control Parameter
33%
One Dimensional
33%
Collected Data
33%
Using Sensor
33%
Design of Experiments
33%
Computational Effort
33%
Current Signal
33%
Combined System
33%
Machining Parameter
33%
Computer Numerical Control
33%
Sound Signal
33%
Sensor Signal
33%
Convolutional Neural Network
33%