A simulation model based fault diagnosis method for bearings

Song, Wenlei; Xiang, Jiawei; Zhong, Yongteng

doi:10.3233/jifs-169557

Cited by 28 publications

(9 citation statements)

References 23 publications

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“…The problem-free operation of the machines is directly related to the healthy operation of the bearings. Vibration can be measured from the machine bearings and information can be obtained about the developments in the internal structure of the machine [16][17].…”

Section: Bearing Faultmentioning

confidence: 99%

Misalignment fault detection by wavelet analysis of vibration signals

Yılmaz

Aksoy

Kesilmiş

2019

International Advanced Researches and Engineering Journal

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Article history:Asynchronous motors are frequently used in many industrial applications, especially pumps and fans. Placement, bearing and coupling faults are common faults in these types of engines. Misalignment error is a common type of error that is seen very often among these errors. This error may cause efficiency decrease in a short run and vibration may cause short circuit and wear in moving parts in the stator windings in a long run. Early diagnosis of such faults is important in terms of machine health and productivity. In this study, loose connection and angular imbalance of the asynchronous machine were investigated. In the experimental works, a 1 Phase 0.75 KW power asynchronous motor, Y-0036-024A Electromagnetic Brake and SKF Microlog vibration meter were used during the measurements. The Frequency components of motor caused by the settlement errors were investigated under the different loads. A loose assembly error and angular imbalance were investigated from the misalignment errors. The engine was run idle and without any positioning errors and measurements were taken from different points with the accelerometer and the frequency spectrum examined. Measurements are repeated when the misalignment errors are occurred on purpose and the FFT frequency components were compared under the load of 12.50Nm using magnetic brake. The results show that the FFT frequency components are examined and the placement error can be determined with high success and accuracy. It has been found that harmonic components are formed in the frequency spectrum at 25Hz Coefficients. After the settlement error is generated it is seen that, undesired frequency components that are unloaded are lowered under load when the frequency spectra is examined. In this study, theoretical and experimental comparisons of settlement errors are made. Although many errors in this subject are examined in the same publication in general, only the results of the settlement errors are examined specifically as a contribution to the literature. The results and graphs are presented comparatively to the reader's knowledge. © 2019, Advanced Researches and Engineering Journal (IAREJ) and the Author(s).

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Section: Bearing Faultmentioning

confidence: 99%

Misalignment fault detection by wavelet analysis of vibration signals

Yılmaz

Aksoy

Kesilmiş

2019

International Advanced Researches and Engineering Journal

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“…The current fault diagnosis methods can be summarized into four categories [8,9]: knowledge-based fault diagnosis [10][11][12], model-based fault diagnosis [13][14][15], signalbased fault diagnosis [16][17][18], and hybrid method-based fault diagnosis (a method that combines two or more methods) [19][20][21][22]. Fault diagnosis for machining centres mainly include diagnosis methods based on fault information monitoring, training models, and fault trees.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres

Zhang

Liu

et al. 2021

Applied Sciences

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Fault propagation behaviour analysis is the basis of fault diagnosis and health maintenance. Traditional fault propagation studies are mostly based on a priori knowledge of a causality model combined with rule-based reasoning, disregarding the limitations of experience and the dynamic characteristics of the system that cause deviations in the identification of critical fault sources. Thus, this paper proposes a dynamic analysis method for fault propagation behaviour of machining centres that combines fault propagation mechanisms with model structure characteristics. This paper uses the design structure matrix (DSM) to establish the fault propagation hierarchy structure model. Considering the correlation of fault time, the fault probability function of a component is obtained and the fault influence degree of nodes are calculated. By introducing the Copula and Coupling degree functions, the fault influence degree of the edges between the same level and different levels are calculated, respectively. This paper constructs a fault propagation intensity model by integrating the edge betweenness and uses it as an index to analyze real-time fault propagation behaviour. Finally, a certain type of machining centre is taken as an example for specific application. This study can provide as a reference for the fault maintenance and reliability growth of a machining centre.

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“…In order to overcome the problem that accurate models must be obtained in order to adopt the model-based FDD method, the system simulation-based FDD approach [7] was proposed to design the control system. Recently, this idea was combined with the artificial intelligence and used for the knowledge acquisition of the fault diagnosis expert systems [8]. Papers [9] and [10] applied this idea to the fault diagnoses of bearing and pipeline leakage, respectively.…”

Section: Introductionmentioning

confidence: 99%

Digital twin based reference architecture for petrochemical monitoring and fault diagnosis

Wang

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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The whole process of the petrochemical industry involves flammable and explosive dangerous goods. The timely discovery of abnormalities or failures in the petrochemical process is crucial to ensure production safety. This paper sets up the approach to build the Digital Twin System (DTs) of a petrochemical process. Specifically, we decompose the petrochemical process into five levels one by one and build a digital twin plug-in for each component of the component layers, and then inversely decouple the process to assemble the DTs layer by layer. As a specific experimental example, the characteristic DTs is proposed to build modules of temperature field and pressure field and flow field, these DT modules are driven by practical industrial sampling data from cracking furnace, and three characteristic DTS modules stated above are integrated to form DTS. Based on the digital twin technology and DTs, we propose the logical structure of chemical process status monitoring and fault diagnosis in detail, which improves the safety and controllability of the petrochemical process.

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A simulation model based fault diagnosis method for bearings

Cited by 28 publications

References 23 publications

Misalignment fault detection by wavelet analysis of vibration signals

Misalignment fault detection by wavelet analysis of vibration signals

Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres

Digital twin based reference architecture for petrochemical monitoring and fault diagnosis

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