Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

Adrian Nembhard; Jyoti Sinha; Andrew Pinkerton; Keri Elbhbah

Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

Adrian Nembhard, Jyoti Sinha, Andrew Pinkerton, Keri Elbhbah

Mechanical and Aerospace Engineering

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

Abstract

Conventional vibration-based condition monitoring (VCM) of rotating machines with a multiple bearing system, such as Turbo-generator (TG) sets, is data intensive. Since a number of sensors are required at each bearing location, the task of diagnosing faults on such systems may be impossible for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.

Original language	English
Title of host publication	Advances in Condition Monitoring of Machinery in Non-Stationary Operations
Subtitle of host publication	Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013
Editors	Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia
Place of Publication	Berlin Heidelberg
Publisher	Springer Nature
Pages	159-169
Number of pages	11
ISBN (Print)	9783642393471
Publication status	Published - 2013
Event	The 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13) - Ferrara, Italy Duration: 8 May 2013 → 10 May 2013

Conference

Conference	The 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13)
City	Ferrara, Italy
Period	8/05/13 → 10/05/13

Keywords

Vibration Monitoring
Condition Monitoring
Rotating Machinery
Fault Diagnosis
Principal Component Analysis

Access to Document

https://link.springer.com/chapter/10.1007/978-3-642-39348-8_13

Cite this

Nembhard, A., Sinha, J., Pinkerton, A., & Elbhbah, K. (2013). Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements. In G. Dalpiaz, R. Rubini, & G. D'Elia (Eds.), Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013 (pp. 159-169). Springer Nature. https://link.springer.com/chapter/10.1007/978-3-642-39348-8_13

Nembhard, Adrian ; Sinha, Jyoti ; Pinkerton, Andrew et al. / Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements. Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013. editor / Giorgio Dalpiaz ; Riccardo Rubini ; Gianluca D'Elia. Berlin Heidelberg : Springer Nature, 2013. pp. 159-169

@inproceedings{390049dfdca842cb98e3caba8d47f347,

title = "Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements",

abstract = "Conventional vibration-based condition monitoring (VCM) of rotating machines with a multiple bearing system, such as Turbo-generator (TG) sets, is data intensive. Since a number of sensors are required at each bearing location, the task of diagnosing faults on such systems may be impossible for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.",

keywords = "Vibration Monitoring, Condition Monitoring, Rotating Machinery, Fault Diagnosis, Principal Component Analysis",

author = "Adrian Nembhard and Jyoti Sinha and Andrew Pinkerton and Keri Elbhbah",

year = "2013",

language = "English",

isbn = "9783642393471",

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editor = "Giorgio Dalpiaz and Riccardo Rubini and Gianluca D'Elia",

booktitle = "Advances in Condition Monitoring of Machinery in Non-Stationary Operations",

publisher = "Springer Nature",

address = "United States",

note = "The 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13) ; Conference date: 08-05-2013 Through 10-05-2013",

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Nembhard, A, Sinha, J, Pinkerton, A & Elbhbah, K 2013, Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements. in G Dalpiaz, R Rubini & G D'Elia (eds), Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013. Springer Nature, Berlin Heidelberg, pp. 159-169, The 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13), Ferrara, Italy, 8/05/13. <https://link.springer.com/chapter/10.1007/978-3-642-39348-8_13>

Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements. / Nembhard, Adrian; Sinha, Jyoti; Pinkerton, Andrew et al.
Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013. ed. / Giorgio Dalpiaz; Riccardo Rubini; Gianluca D'Elia. Berlin Heidelberg: Springer Nature, 2013. p. 159-169.

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

TY - GEN

T1 - Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

AU - Nembhard, Adrian

AU - Sinha, Jyoti

AU - Pinkerton, Andrew

AU - Elbhbah, Keri

PY - 2013

Y1 - 2013

N2 - Conventional vibration-based condition monitoring (VCM) of rotating machines with a multiple bearing system, such as Turbo-generator (TG) sets, is data intensive. Since a number of sensors are required at each bearing location, the task of diagnosing faults on such systems may be impossible for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.

AB - Conventional vibration-based condition monitoring (VCM) of rotating machines with a multiple bearing system, such as Turbo-generator (TG) sets, is data intensive. Since a number of sensors are required at each bearing location, the task of diagnosing faults on such systems may be impossible for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.

KW - Vibration Monitoring

KW - Condition Monitoring

KW - Rotating Machinery

KW - Fault Diagnosis

KW - Principal Component Analysis

M3 - Conference contribution

SN - 9783642393471

SP - 159

EP - 169

BT - Advances in Condition Monitoring of Machinery in Non-Stationary Operations

A2 - Dalpiaz, Giorgio

A2 - Rubini, Riccardo

A2 - D'Elia, Gianluca

PB - Springer Nature

CY - Berlin Heidelberg

T2 - The 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13)

Y2 - 8 May 2013 through 10 May 2013

ER -

Nembhard A, Sinha J, Pinkerton A, Elbhbah K. Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements. In Dalpiaz G, Rubini R, D'Elia G, editors, Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2013. Berlin Heidelberg: Springer Nature. 2013. p. 159-169

Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

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