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

O.C., Pedro; Aguiar, Paulo Roberto de; Foschini, C. R.; França, Thiago Valle; Ribeiro, Danilo Marcus Santos; Ferreira, Fábio Isaac; Lopes, Wenderson Nascimento; Bianchi, Eduardo Carlos

doi:10.1049/iet-smt.2018.5178

Cited by 12 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The feasibility of monitoring the wear of the ceramic micro-grinding tool without knowing the machining characteristics was verified. Junior et al [44,45] performed a feature extraction using the frequency domain spectrum and time-domain analysis of vibration signals to monitor the advanced ceramic grinding process. The statistics calculated by the application of digital filters in the chosen frequency bands were correlated with the workpiece surface roughness.…”

Section: Ceramic Grinding Overviewmentioning

confidence: 99%

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Viera

Aguiar

Oliveira

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time–frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time–frequency analysis allowed to identify irregularities throughout the monitored process.

show abstract

Section: Ceramic Grinding Overviewmentioning

confidence: 99%

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Viera

Aguiar

Oliveira

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The technique of analysing the sound coming out of the materials by hitting the ceramic materials gives very successful results in practice [1][2][3][4][35][36][37][38]. This technique has been used by scientists for a long time.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, DWPT and SVM methods are used together to determine the deformation of the ceramic plates. Short-Time Fourier Transformation (STFT) [4,35], Continuous Wavelet Transformation (CWT) [1] methods for detecting deformations in ceramic plates have been used in previous studies [1,3,4].…”

Section: Resultsmentioning

confidence: 99%

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

Yumurtacı

Gökmen

Akıncı

2020

IJECE

View full text Add to dashboard Cite

In this study, an analysis was conducted by using discrete wavelet packet transform (DWPT) and support vector machine (SVM) methods to determine undamaged and cracked plates. The pendulum was used to land equal impacts on plates in this experimental study. Sounds, which emerge from plates as a result of the impacts applied to undamaged and cracked plates, are sound signals used in the analysis and DWPT of these sound signals were obtained with 128 decompositions for feature extraction. The first four components, reflecting the characteristics of undamaged and cracked plates within these 128 components, were selected for enhancing the performance of the classifier and energy values were used as feature vectors. In the study, the SVM model was created by selecting appropriate C and γ parameters for the classifier. Undamaged and cracked plates were seen to be successfully identified by an analysis of the training and testing phases. Undamaged and cracked statuses of the plates that are undamaged and have the analysis had identified different cracks. The biggest advantage of this analysis method used is that it is high-precision, is relatively low in cost regarding experimental equipment and requires hardware.

show abstract

“…The values were normalized before the computation of the linear regression in order to eliminate the amplitude differences between the two statistics. The application of linear regression as a correlation metric can be found in several scientific works, as in de Oliveira Conceição Jr. et al [67] and Viera et al [21].…”

Section: Setup Grinding Tests and Workpiece Assessmentmentioning

confidence: 99%

A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process

Alexandre

Aguiar

Götz

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

The interest of the scientific community for ultrasound techniques has increased in recent years due to its wide range of applications. A continuous effort of researchers and industries has been made in order to improve and increase the applicability of non-destructive evaluations (NDE). In this context, the monitoring of manufacturing processes, such as the grinding process, arises. This work proposes a novel technique of ultrasound monitoring (chirp-through-transmission) through low-cost piezoelectric diaphragms and digital signal processing. The proposed technique was applied to the monitoring of material removal during the grinding process. The technique is based on changes in ultrasonic waves when propagated through the material under study, with the difference that this technique does not use traditional parameters of ultrasonic techniques but digital signal processing (RMS and Counts). Furthermore, the novelty of the proposed technique is also the use of low-cost piezoelectric diaphragms in the emission and reception of ultrasonic waves, enabling the implementation of a low-cost monitoring system. The results show that the monitoring technique proposed in this work, when used in conjunction with the frequency band selection, is sensitive to the material removal in the grinding process and therefore presents an advance for monitoring the grinding processes.

show abstract

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

Cited by 12 publications

References 38 publications

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process

Contact Info

Product

Resources

About