Dressing tool condition monitoring through impedance-based sensors: Part 2—Neural networks and k-nearest neighbor classifier approach

P Junior, DM D'Addona, P Aguiar, R Teti - Sensors, 2018 - mdpi.com
This paper presents an approach for impedance-based sensor monitoring of dressing tool
condition in grinding by using the electromechanical impedance (EMI) technique. This …

Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process

POC Junior, PR Aguiar, CR Foschini… - IET Science …, 2019 - Wiley Online Library
New alternatives for monitoring the ceramic grinding process have been studied. Monitoring
vibration signals is one of the most successful methods because some characteristics that …

Tool condition monitoring in grinding operation using piezoelectric impedance and wavelet transform

PO Junior, P Aguiar, R Ruzzi, S Conte, M Viera… - Proceedings, 2019 - mdpi.com
The purpose of the present study is to monitor tool condition in a grinding operation through
the electromechanical impedance (EMI) using wavelet analysis. To achieve this, a dressing …

Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

J Yu, D Zou - International Journal of Distributed Sensor …, 2021 - journals.sagepub.com
The speed of drilling has a great relationship with the rock breaking efficiency of the bit.
Based on the above background, the purpose of this article is to predict the position of …

[PDF][PDF] Failure Diagnosis in a Multipoint Dressing Tool Using Electromechanical Impedance Technique

POC Junior, DM D'Addona, S Conte, R Ruzzi… - sensors - researchgate.net
This study aims to introduce the approach of failure diagnosis for the monitoring of dressing
operation, in order to improve the grinding process, which has high benefit. This contribution …