Standard
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 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN02013). ed. / Giorgio Dalpiaz; Riccardo Rubini; Gianluca D'Elia; Marco Cocconcelli; Fakher Chaari; Radoslaw Zimroz; Walter Bartelmus. Berlin: Springer Verlag, 2014. p. 159-169 (Lecture Notes in Mechanical Engineering).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Nembhard, A, Sinha, J
, Pinkerton, A & Elbhbah, K 2014,
Condition monitoring of rotating machines using vibration and bearing temperature measurements. in G Dalpiaz, R Rubini, G D'Elia, M Cocconcelli, F Chaari, R Zimroz & W Bartelmus (eds),
Advances in Condition Monitoring of Machinery in Non-stationary Operations: Proceedings of the 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN02013). Lecture Notes in Mechanical Engineering, Springer Verlag, Berlin, pp. 159-169.
https://doi.org/10.1007/978-3-642-39348-8_13APA
Nembhard, A., Sinha, J.
, Pinkerton, A., & Elbhbah, K. (2014).
Condition monitoring of rotating machines using vibration and bearing temperature measurements. In G. Dalpiaz, R. Rubini, G. D'Elia, M. Cocconcelli, F. Chaari, R. Zimroz, & W. Bartelmus (Eds.),
Advances in Condition Monitoring of Machinery in Non-stationary Operations: Proceedings of the 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN02013) (pp. 159-169). (Lecture Notes in Mechanical Engineering). Springer Verlag.
https://doi.org/10.1007/978-3-642-39348-8_13Vancouver
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, Cocconcelli M, Chaari F, Zimroz R, Bartelmus W, editors, Advances in Condition Monitoring of Machinery in Non-stationary Operations: Proceedings of the 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN02013). Berlin: Springer Verlag. 2014. p. 159-169. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-642-39348-8_13
Author
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 3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN02013). editor / Giorgio Dalpiaz ; Riccardo Rubini ; Gianluca D'Elia ; Marco Cocconcelli ; Fakher Chaari ; Radoslaw Zimroz ; Walter Bartelmus. Berlin : Springer Verlag, 2014. pp. 159-169 (Lecture Notes in Mechanical Engineering).
Bibtex
@inproceedings{7fd589baa1ab4ec99f554653c17d4f4f,
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.",
author = "Adrian Nembhard and Jyoti Sinha and Andrew Pinkerton and Keri Elbhbah",
year = "2014",
doi = "10.1007/978-3-642-39348-8_13",
language = "English",
isbn = "9783642393471",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Verlag",
pages = "159--169",
editor = "Giorgio Dalpiaz and Riccardo Rubini and Gianluca D'Elia and Marco Cocconcelli and Fakher Chaari and Radoslaw Zimroz and Walter Bartelmus",
booktitle = "Advances in Condition Monitoring of Machinery in Non-stationary Operations",
}
RIS
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 - 2014
Y1 - 2014
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.
U2 - 10.1007/978-3-642-39348-8_13
DO - 10.1007/978-3-642-39348-8_13
M3 - Conference contribution/Paper
SN - 9783642393471
T3 - Lecture Notes in Mechanical Engineering
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
A2 - Cocconcelli, Marco
A2 - Chaari, Fakher
A2 - Zimroz, Radoslaw
A2 - Bartelmus, Walter
PB - Springer Verlag
CY - Berlin
ER -
