Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal

Influence of grinding parameters on surface temperature and burn behaviors of grinding rail

(2018) B. Lin et al.   TRIBOLOGY INTERNATIONAL

Monitoring of grinding burn via Barkhausen noise emission in case-hardened steel in large-bearing production

(2017) Miroslav Neslušan et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Correlation analysis of motor current and chatter vibration in grinding using complex continuous wavelet coherence

(2016) Yao Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Numerical modeling and experimental study of microcrack detection in grinding burn using high order strain mode

(2015) Bang-ping Gu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Traceability of acoustic emission measurements for micro and macro grinding phenomena—characteristics and identification through classification of micro mechanics with regression to burn using signal analysis

(2015) James Marcus Griffin   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Monitoring and processing signal applied in machining processes – A review

(2014) C.H. Lauro et al.   MEASUREMENT

A non-destructive surface burn detection method for ferrous metals based on acoustic emission and ensemble empirical mode decomposition: from laser simulation to grinding process

(2014) Zhensheng Yang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Experimental study of burn classification and prediction using indirect method in surface grinding of AISI 1045 steel

(2013) Zhensheng Yang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Application of Hilbert–Huang Transform to acoustic emission signal for burn feature extraction in surface grinding process

(2013) Zhensheng Yang et al.   MEASUREMENT

Burn threshold prediction for High Efficiency Deep Grinding

(2011) A. Bell et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Detection of Grinding Temperatures Using Laser Irradiation and Acoustic Emission Sensing Technique

(2011) Arif Mohammed et al.   MATERIALS AND MANUFACTURING PROCESSES