Non-intrusive fault detection in reciprocating compressors

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.

Bibliographic Details
Main Author: Schantz, Christopher James
Other Authors: Steven B. Leeb.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/67800
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author Schantz, Christopher James
author2 Steven B. Leeb.
author_facet Steven B. Leeb.
Schantz, Christopher James
author_sort Schantz, Christopher James
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
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spelling mit-1721.1/678002019-04-09T19:10:32Z Non-intrusive fault detection in reciprocating compressors Schantz, Christopher James Steven B. Leeb. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 128-130). This thesis presents a set of techniques for non-intrusive sensing and fault detection in reciprocating compressors driven by induction motors. The procedures developed here are "non-intrusive" because they rely only on electrical measurements to reconstruct the mechanical signals internal to the compressor. This allows for easy and non-intrusive determination of many fault sensitive signals that usually require complicated, expensive, and time consuming operations to measure. A sample of the signals produced by the procedures of this thesis are estimates of the cylinder suction and discharge pressures and a composite torque signal containing the effects of the mechanical loads within the compressor. This load torque signal is especially sensitive to faults, and a demonstration of the effect on and detection of compressor valve faults from the load torque signal is given. One of the key steps in the algorithm presented here is a procedure to "invert" the induction motor dynamic model equations to allow direct calculation of motor shaft speed and torque from stator current and voltage measurements. For this procedure a non-intrusive method to estimate motor model parameters from an in-situ induction motor driving a periodic load was developed. by Christopher James Schantz. S.M. 2011-12-19T18:52:57Z 2011-12-19T18:52:57Z 2011 2011 Thesis http://hdl.handle.net/1721.1/67800 767827981 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 166 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Schantz, Christopher James
Non-intrusive fault detection in reciprocating compressors
title Non-intrusive fault detection in reciprocating compressors
title_full Non-intrusive fault detection in reciprocating compressors
title_fullStr Non-intrusive fault detection in reciprocating compressors
title_full_unstemmed Non-intrusive fault detection in reciprocating compressors
title_short Non-intrusive fault detection in reciprocating compressors
title_sort non intrusive fault detection in reciprocating compressors
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/67800
work_keys_str_mv AT schantzchristopherjames nonintrusivefaultdetectioninreciprocatingcompressors