Experimental and theoretical application of fault identification measures of accuracy in rotating machine diagnostics

A Vania, P Pennacchi - Mechanical Systems and Signal Processing, 2004 - Elsevier
… the accuracy of the results obtained with model-based techniques aimed to identify faults in
rotating machines. … is carried out using both machine response simulated with mathematical …

Accuracy of fault detection in real rotating machinery using model based diagnostic techniques

N Bachschmid, P Pennacchi - … C Mechanical Systems, Machine …, 2003 - jstage.jst.go.jp
identification technique is presented in this paper. The validation is performed on both real
machines, like … residual is introduced to evaluate the accuracy of the performed identification. …

A GOA-MSVM based strategy to achieve high fault identification accuracy for rotating machinery under different load conditions

J Zhang, J Zhang, M Zhong, J Zheng, L Yao - Measurement, 2020 - Elsevier
Identifying fault of rotating machinery under different load conditions with high accuracy is
a … for high fault identification accuracy in rotating machinery working under different loads. …

Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: part 1—theoretical remarks

P Pennacchi, N Bachschmid, A Vania… - … Systems and Signal …, 2006 - Elsevier
identification by means of model-based techniques, both in frequency and time domain, is
often employed in diagnostics of rotating machines… the accuracy of the identification and in this …

Application of deep learning in fault diagnosis of rotating machinery

W Jiang, C Wang, J Zou, S Zhang - Processes, 2021 - mdpi.com
… The identification accuracy rate of each sample set is shown in Table 4. The identification
accuracy … In order to show the identification accuracy rate of each category of the model in the …

Modeling of rotating machinery: A novel frequency sweep system identification approach

Y Li, Z Luo, F He, Y Zhu, X Ge - Journal of Sound and Vibration, 2021 - Elsevier
identification method for NARX model-based system identification of rotating machinery. …
of establishing an accurate model of complex rotating machinery using traditional physical …

Fault identification in rotating machinery using artificial neural networks

H Nahvi, M Esfahanian - Proceedings of the Institution of …, 2005 - journals.sagepub.com
… employed for fault prediction of rotating machinery systems. Multi-… More than 40 rotating
machinery faults are introduced into the … is found to identify the actual fault with good accuracy. …

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions

X Yan, Y Liu, M Jia - Knowledge-Based Systems, 2020 - Elsevier
… Namely, it is valuable and meaningful to develop a novel technique with outstanding
automaticity and high accuracy to identify mechanical faults under different working conditions. …

Convolutional neural network based fault detection for rotating machinery

O Janssens, V Slavkovikj, B Vervisch… - Journal of Sound and …, 2016 - Elsevier
… generated from the bearing, therefore, making the identification of a fault more difficult. In the
… resulting in a de-noised signal which allows for a fault frequency to be accurately identified. …

Rotating machinery prognostics: State of the art, challenges and opportunities

A Heng, S Zhang, ACC Tan, J Mathew - Mechanical systems and signal …, 2009 - Elsevier
… of publications on rotating machinery prognostics in the past … identifying their merits and
weaknesses. It then discusses the … The accurate modelling of suspended data was found to be …