Monitoring grinding parameters by vibration signal measurement - a primary application

1994 ◽  
Vol 7 (4) ◽  
pp. 495-501 ◽  
Author(s):  
Yigen Zeng ◽  
E. Forssberg
Keyword(s):  
Vibration Signal ◽  
Grinding Parameters ◽  
Signal Measurement

Broadband vibration signal measurement based on multi-coset sampling in phase-sensitive OTDR system

2021 ◽  
pp. 1-1
Author(s):  
Shuai Li ◽  
Yanping Xu ◽  
Yuru Feng ◽  
Shuai Qu ◽  
Wenchen Yang ◽  
...  
Keyword(s):  
Vibration Signal ◽  
Signal Measurement ◽  
Phase Sensitive

Monitoring jaw crushing parameters via vibration signal measurement

1993 ◽  
Vol 39 (3-4) ◽  
pp. 199-208 ◽  
Author(s):  
Yigen Zeng ◽  
Min Zheng ◽  
Eric Forssberg
Keyword(s):  
Vibration Signal ◽  
Signal Measurement

Intelligent Dynamic Roughness Identification Model in Grinding

2011 ◽  
Vol 48-49 ◽  
pp. 621-624
Author(s):  
Ning Ding ◽  
Ding Tong Zhang ◽  
Ye He
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Fuzzy Neural Network ◽  
Vibration Signal ◽  
Dynamic Identification ◽  
Grinding Parameters ◽  
Proposed Model ◽  
Fuzzy Neural ◽  
External Cylindrical Grinding ◽  
Identification Model

In this paper, first, the relation between roughness and grinding parameters is built. Then, an intelligent dynamic identification model of surface roughness is developed, which bases on the theory of roughness during grinding and the theory of fuzzy-neural network. The inputs for the model are the grinding parameters. Besides, an accelerometer is used to gather the dynamic vibration signal in real time. The model was used in the external cylindrical grinding experiment, and the result verified that the proposed model was feasible.

Biological Signal Measurement using Stretchable Dry Electrodes Printed on Textile Substrates

2016 ◽  
Vol 136 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Masahiro Inoue ◽  
Yasunori Tada ◽  
Yusaku Amano ◽  
Yosuke Itabashi ◽  
Tomonobu Sato ◽  
...  
Keyword(s):  
Biological Signal ◽  
Dry Electrodes ◽  
Signal Measurement
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