Diagnosis and Model Based Identification of a Coupling Misalignment

This paper is focused on the application of two different diagnostic techniques aimed to identify the most important faults in rotating machinery as well as on the simulation and prediction of the frequency response of rotating machines. The application of the two diagnostics techniques, the orbit s...

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Main Authors: P. Pennacchi, A. Vania
Format: Article
Language:English
Published: Hindawi Limited 2005-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2005/607319
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spelling doaj-56f9f3af7f0d4006823c751906f816252020-11-24T22:09:46ZengHindawi LimitedShock and Vibration1070-96221875-92032005-01-0112429330810.1155/2005/607319Diagnosis and Model Based Identification of a Coupling MisalignmentP. Pennacchi0A. Vania1Department of Mechanics, Politecnico di Milano, Via La Masa, 34, I-20156, Milano, ItalyDepartment of Mechanics, Politecnico di Milano, Via La Masa, 34, I-20156, Milano, ItalyThis paper is focused on the application of two different diagnostic techniques aimed to identify the most important faults in rotating machinery as well as on the simulation and prediction of the frequency response of rotating machines. The application of the two diagnostics techniques, the orbit shape analysis and the model based identification in the frequency domain, is described by means of an experimental case study that concerns a gas turbine-generator unit of a small power plant whose rotor-train was affected by an angular misalignment in a flexible coupling, caused by a wrong machine assembling. The fault type is identified by means of the orbit shape analysis, then the equivalent bending moments, which enable the shaft experimental vibrations to be simulated, have been identified using a model based identification method. These excitations have been used to predict the machine vibrations in a large rotating speed range inside which no monitoring data were available. To the best of the authors' knowledge, this is the first case of identification of coupling misalignment and prediction of the consequent machine behaviour in an actual size rotating machinery. The successful results obtained emphasise the usefulness of integrating common condition monitoring techniques with diagnostic strategies.http://dx.doi.org/10.1155/2005/607319
collection DOAJ
language English
format Article
sources DOAJ
author P. Pennacchi
A. Vania
spellingShingle P. Pennacchi
A. Vania
Diagnosis and Model Based Identification of a Coupling Misalignment
Shock and Vibration
author_facet P. Pennacchi
A. Vania
author_sort P. Pennacchi
title Diagnosis and Model Based Identification of a Coupling Misalignment
title_short Diagnosis and Model Based Identification of a Coupling Misalignment
title_full Diagnosis and Model Based Identification of a Coupling Misalignment
title_fullStr Diagnosis and Model Based Identification of a Coupling Misalignment
title_full_unstemmed Diagnosis and Model Based Identification of a Coupling Misalignment
title_sort diagnosis and model based identification of a coupling misalignment
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2005-01-01
description This paper is focused on the application of two different diagnostic techniques aimed to identify the most important faults in rotating machinery as well as on the simulation and prediction of the frequency response of rotating machines. The application of the two diagnostics techniques, the orbit shape analysis and the model based identification in the frequency domain, is described by means of an experimental case study that concerns a gas turbine-generator unit of a small power plant whose rotor-train was affected by an angular misalignment in a flexible coupling, caused by a wrong machine assembling. The fault type is identified by means of the orbit shape analysis, then the equivalent bending moments, which enable the shaft experimental vibrations to be simulated, have been identified using a model based identification method. These excitations have been used to predict the machine vibrations in a large rotating speed range inside which no monitoring data were available. To the best of the authors' knowledge, this is the first case of identification of coupling misalignment and prediction of the consequent machine behaviour in an actual size rotating machinery. The successful results obtained emphasise the usefulness of integrating common condition monitoring techniques with diagnostic strategies.
url http://dx.doi.org/10.1155/2005/607319
work_keys_str_mv AT ppennacchi diagnosisandmodelbasedidentificationofacouplingmisalignment
AT avania diagnosisandmodelbasedidentificationofacouplingmisalignment
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