Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis

Daniel Zurita; Miguel Delgado; Luis Romeral; J. Antonio  Ortega

doi:10.1109/DEMPED.2013.6645713

Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis

Daniel Zurita
, Miguel Delgado
, Luis Romeral
, J. Antonio Ortega

Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

The development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based intelligent sensor is presented in this work. The proposed sensor records regularly the acoustic emission signal generated by gearboxes. A time domain statistical analysis is applied in order to characterize the acquired data. Afterwards, a neural network based algorithm is applied to detect gear fault patterns. Finally, the diagnosis result is sent through a wireless transceiver to the central control unit. Moreover, in order to reach a real autonomous operation, the sensor power is approached by different energy harvesting solutions.

Original language	English
Title of host publication	Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013
Publisher	IEEE Computer Society
Pages	169-176
Number of pages	8
ISBN (Print)	9781479900251
DOIs	https://doi.org/10.1109/DEMPED.2013.6645713
Publication status	Published - 2013
Externally published	Yes
Event	2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013 - Valencia, Spain Duration: 27 Aug 2013 → 30 Aug 2013

Publication series

Name	Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013

Conference

Conference	2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013
Country/Territory	Spain
City	Valencia
Period	27/08/13 → 30/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Acoustic Emission
Energy Harvesting
Feature Analysis
Gear Fault Diagnosis
Neural Networks
Preventive Maintenance
Rotating Machinery
Wireless Sensor System

Access to Document

10.1109/DEMPED.2013.6645713

Cite this

Zurita, D., Delgado, M., Romeral, L., & Ortega, J. A. (2013). Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. In Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013 (pp. 169-176). Article 6645713 (Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013). IEEE Computer Society. https://doi.org/10.1109/DEMPED.2013.6645713

Zurita, Daniel ; Delgado, Miguel ; Romeral, Luis et al. / Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013. IEEE Computer Society, 2013. pp. 169-176 (Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013).

@inproceedings{e3a33ed0d02a404c874f6ca27b85aa21,

title = "Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis",

abstract = "The development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based intelligent sensor is presented in this work. The proposed sensor records regularly the acoustic emission signal generated by gearboxes. A time domain statistical analysis is applied in order to characterize the acquired data. Afterwards, a neural network based algorithm is applied to detect gear fault patterns. Finally, the diagnosis result is sent through a wireless transceiver to the central control unit. Moreover, in order to reach a real autonomous operation, the sensor power is approached by different energy harvesting solutions.",

keywords = "Acoustic Emission, Energy Harvesting, Feature Analysis, Gear Fault Diagnosis, Neural Networks, Preventive Maintenance, Rotating Machinery, Wireless Sensor System",

author = "Daniel Zurita and Miguel Delgado and Luis Romeral and Ortega, \{J. Antonio\}",

year = "2013",

doi = "10.1109/DEMPED.2013.6645713",

language = "English",

isbn = "9781479900251",

series = "Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013",

publisher = "IEEE Computer Society",

pages = "169--176",

booktitle = "Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013",

address = "United States",

note = "2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013 ; Conference date: 27-08-2013 Through 30-08-2013",

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Zurita, D, Delgado, M, Romeral, L & Ortega, JA 2013, Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. in Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013., 6645713, Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013, IEEE Computer Society, pp. 169-176, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013, Valencia, Spain, 27/08/13. https://doi.org/10.1109/DEMPED.2013.6645713

Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. / Zurita, Daniel; Delgado, Miguel; Romeral, Luis et al.
Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013. IEEE Computer Society, 2013. p. 169-176 6645713 (Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis

AU - Zurita, Daniel

AU - Delgado, Miguel

AU - Romeral, Luis

AU - Ortega, J. Antonio

PY - 2013

Y1 - 2013

N2 - The development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based intelligent sensor is presented in this work. The proposed sensor records regularly the acoustic emission signal generated by gearboxes. A time domain statistical analysis is applied in order to characterize the acquired data. Afterwards, a neural network based algorithm is applied to detect gear fault patterns. Finally, the diagnosis result is sent through a wireless transceiver to the central control unit. Moreover, in order to reach a real autonomous operation, the sensor power is approached by different energy harvesting solutions.

AB - The development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based intelligent sensor is presented in this work. The proposed sensor records regularly the acoustic emission signal generated by gearboxes. A time domain statistical analysis is applied in order to characterize the acquired data. Afterwards, a neural network based algorithm is applied to detect gear fault patterns. Finally, the diagnosis result is sent through a wireless transceiver to the central control unit. Moreover, in order to reach a real autonomous operation, the sensor power is approached by different energy harvesting solutions.

KW - Acoustic Emission

KW - Energy Harvesting

KW - Feature Analysis

KW - Gear Fault Diagnosis

KW - Neural Networks

KW - Preventive Maintenance

KW - Rotating Machinery

KW - Wireless Sensor System

UR - https://www.scopus.com/pages/publications/84891054516

U2 - 10.1109/DEMPED.2013.6645713

DO - 10.1109/DEMPED.2013.6645713

M3 - Conference contribution

AN - SCOPUS:84891054516

SN - 9781479900251

T3 - Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013

SP - 169

EP - 176

BT - Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013

PB - IEEE Computer Society

T2 - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013

Y2 - 27 August 2013 through 30 August 2013

ER -

Zurita D, Delgado M, Romeral L, Ortega JA. Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. In Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013. IEEE Computer Society. 2013. p. 169-176. 6645713. (Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013). doi: 10.1109/DEMPED.2013.6645713

Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis

Abstract

Publication series

Conference

UN SDGs

Keywords

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