Identification of Multiple Faults in Rotor Systems

Bachschmid, N.; Pennacchi, Paolo; Vania, A.

doi:10.1006/jsvi.2001.4116

Cited by 161 publications

(124 citation statements)

References 6 publications

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“…5, No. 4,2011 As the displacement is normalized by the magnitude of the external force, the magnitude of the external force is set as 1.0 N. The external force acts on the joint elements, so the distributed external force for unit length q is obtained as follows:…”

Section: Journal Of System Design and Dynamicsmentioning

confidence: 99%

A Regularization Method for a Stepwise Primary Diagnosis Method of a Beam Structure Using a Force Identification Technique

Kawamura

Yamamoto

Minamoto

2011

JSDD

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In this study, first, the optimum adoption of singular values was investigated by a numerical example when the unknown parameters were the nodal forces of a finite element. It was shown that the distribution of the singular values depended on the sensor location and that accurate estimation results could be obtained by using one singular value in this example based on the condition number. Then the new expression of the virtual additional force was proposed. That is one of the regularization methods of inverse analysis, and the magnitude of the impulsive force is set as an unknown parameter. The numerical example showed that the estimated location of the abnormality determined by the proposed method agreed with that determined by the adoption of one singular value using the previous method in which the nodal forces were set as the unknown parameters. Also, the numerical and the experimental results showed that the accurate estimated location of the abnormality could be obtained by adopting one singular value using the proposed method. As a result, it was shown that the proposed method could be used in the actual application.

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Section: Journal Of System Design and Dynamicsmentioning

confidence: 99%

A Regularization Method for a Stepwise Primary Diagnosis Method of a Beam Structure Using a Force Identification Technique

Kawamura

Yamamoto

Minamoto

2011

JSDD

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“…Principle and procedure of the traditional model based method [8][9][10] . The model based identification is to combine the dynamics of the rotor system with the common signal based identification method.…”

Section: The Principle and Procedures Of The Model Based Identificatiomentioning

confidence: 99%

“…This method is very easy to apply, but the estimated vibrations of the whole rotor system may differ much to the actual vibrations as the mode truncation in modal expansion technique can cause error. Another more accurate model based method in frequency domain is presented and developed by Bachschmid, Pennacchi and Vania [8][9][10] . In this method, the finite element model of the rotor system is built and the possible fault locations are hypothesized, the harmonic components of equivalent force or moment are obtained by comparing the vibrations of the fault system with the reference system (usually normal operating rotor system), then the fault location and fault extent can be identified by least-squares fitting approach.…”

Section: Introductionmentioning

confidence: 99%

“…This method is proved to be efficient in detecting single fault or multi-fault as it has been applied on the identification of all kinds of faults, both in test-rigs and in actual large scale rotating machines. For example, in reference [8] the detecting methods and fault mathematic models are introduced and common faults such as unbalance, crack and rotor to stator rub are identified in test-rig; Pennacchi et al [9,10] applied this method to detect crack fault of a test rig and the thermal bow of a 50MW power unit; Han et al [11] used a method alike to identify the unbalance of the rotor system. This method gives more accuracy since the modal expansion is avoided.…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Fault Diagnosis Approach for Rotor System with Unidentified Supporting Parameters

Yao

Bin

Han

et al. 2011

AEF

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Abstract.The model based diagnosis method can detect both the fault location and the fault extent of the rotating machinery at the same time as it can combine the dynamics and fault diagnosis method together. However, the modal test of the supporting part is necessary when using the existing model based method, and the precision of the modal test results make a strong impact on the diagnosis results. In order to improve this case, an improved model based diagnosis method is presented herein by combining the fixed-interface modal synthesis method with the traditional model based diagnosis method. The DOF of the unidentified parameter due to the supporting parts are partitioned to interface DOF, and the displacement information of the supporting parts can be measured by the mounted sensors. Therefore, the model based diagnosis method can be carried out by only using the parameters of the rotor without considering the effects from the supporting, which can greatly improve the diagnosis precision and efficiency. This method is fit for the rotor systems with unidentified supporting parameter, and the rotor systems with unknown nonlinear supporting parameter. Both the numerical simulation results and the experiment results in the example proved the efficiency of this method.

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“…The feature extracting of fault signal not only affects the accuracy of fault diagnosis, but also may lead to misdiagnosis. Therefore, effective extraction of vibration signal characteristics is the key to diagnose the faults of rotating machinery [4]. Analysis, processing, and feature extraction of nonlinear and nonstationary signal always are one of the hot topics concerning engineers and researchers [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Study on Frequency Characteristics of Rotor Systems for Fault Detection Using Variational Mode Decomposition

Chen

Zhou

Fang

et al. 2017

International Journal of Rotating Machinery

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Due to the complicated structure, vibration signal of rotating machinery is multicomponent with nonstationary and nonlinear features, so it is difficult to diagnose faults effectively. Therefore, effective extraction of vibration signal characteristics is the key to diagnose the faults of rotating machinery. Mode mixing and illusive components existed in some conventional methods, such as EMD and EEMD, which leads to misdiagnosis in extracting signals. Given these reasons, a new fault diagnosis method, namely, variation mode decomposition (VMD), was proposed in this paper. VMD is a newly developed technique for adaptive signal decomposition, which can decompose a multicomponent signal into a series of quasi-orthogonal intrinsic mode functions (IMFs) simultaneously, corresponding to the components of signal clearly. To further research on VMD method, the advantages and characteristics of VMD are investigated via numerical simulations. VMD is then applied to detect oil whirl and oil whip for rotor systems fault diagnosis via practical vibration signal. The experimental results demonstrate the effectiveness of VMD method.

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Identification of Multiple Faults in Rotor Systems

Cited by 161 publications

References 6 publications

A Regularization Method for a Stepwise Primary Diagnosis Method of a Beam Structure Using a Force Identification Technique

A Regularization Method for a Stepwise Primary Diagnosis Method of a Beam Structure Using a Force Identification Technique

Model-Based Fault Diagnosis Approach for Rotor System with Unidentified Supporting Parameters

Study on Frequency Characteristics of Rotor Systems for Fault Detection Using Variational Mode Decomposition

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