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Ball mill safety and stability is of great significance in industrial production. As a typical case of the signals with multiple mixed similar vibration forms and meshing noise, ball mill jars (BMJ), is selected to diagnosis and analysis in detail. The traditional method of fault diagnosis of gear mesh noise has high requirements on the machine operating …
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The rolling mill fault diagnosis test platform mainly consists of the drive motor, coupling, reduction gearbox, gear base, four high rolling mills, and related control parts. The lower …
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Xin G, Li Z, Jia L, et al. Fault diagnosis of wheelset bearings in high-speed trains using logarithmic short-time Fourier transform and modified self-calibrated residual network. ... Yang L, Zeng C, et al. Integrated approach for ball mill load forecasting based on improved EWT, refined composite multi-scale dispersion entropy and fireworks ...
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Fault diagnosis of rolling element bearings is significant for guaranteeing machinery safety and functionality. ... Optimal Condition Monitoring of Ball Mill Based on Vibration Signal of Cylinder ...
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The common failure causes of gear and the methods of monitoring and diagnosis are given, which is of significance for reducing accidents, reducing …
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Online monitoring load parameters inside the ball mill is the key to improving the production quality and quantity of the mineral grinding process. ... (Lei et al., 2009). Wavelet decomposition and its improved versions have been widely used for fault diagnosis of such mechanical signal (Cusido et al., 2008, Wang et al., 2017); however, …
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General overview of control and fault diagnostic methods are the topics in [1, 2]. The authors in ... A new model-based approach for power plant tube-ball mill condition monitoring and fault detection. Energy Convertion and Management. 2014; 80:10-19; 6. Agrawal V, Panigrahi BK, Subbarao PMV. A unified thermo-mechanical model for coal …
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Gearboxes are frequently used in the mining industry, especially for power transmission between the electric drive and the ball mill; besides the extreme complexity of a ball mill gear transmission system, the fault diagnosis by vibration analysis can be easily distorted by the presence of impulsive noises due to the ball pulses on the mill shell. …
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Abstract: Ball mill safety and stability is of great significance in industrial production. As a typical case of the signals with multiple mixed similar vibration forms and meshing noise, …
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Considering the nonlinear frictional damping between the rolls and the rolled parts, a nonlinear mathematical model of the main drive system of the mill is established. …
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Condition monitoring and fault diagnosis of ball mill gear. Abstract: Ball mill is a typical representative of mineral processing equipment in mining machinery. This paper …
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Results showed the potential of motor current signal in bearing fault diagnosis with high classification accuracy. ... a case study for a paper mill at Swedish showed that preventing unplanned stoppage for a year will increase the ... Harsha, S.P.: Fault diagnosis of ball bearings using machine learning methods. Expert Syst. Appl. …
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Download Citation | On Jun 1, 2018, Danli Wen and others published Condition monitoring and fault diagnosis of ball mill gear | Find, read and cite all the research you need on ResearchGate
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The experimental results reveal that the method can effectively realize the fault diagnosis of rolling mill equipment under variable working conditions and can achieve average diagnostic rates of ...
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Aiming at the typical faults in the coal mills operation process, the kernel extreme learning machine diagnosis model based on variational model feature extraction and kernel principal component analysis is offered. Firstly, the collected signals of vibration and loading force, corresponding to typical faults of coal mill, are decomposed by …
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Fault diagnosis has received considerable attention because its implementation can effectively prevent costly and even catastrophic downtime. However, quickly identifying faults and accurately obtaining diagnosis results from a feature set of rotating machinery are still a problem. To this end, this paper proposes an effective …
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on on-line mill condition monitoring for a ball tube mill using GA for coefficients identification and it can be used for mill fault detection. Agrawal et al. [5] presented a review of the current state of technology on improved controls and fault diagnosis methods applied to mills. An understanding of the mill system,
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Mills can be classified by their operating speed [20] or by their working principle [21] (e.g., impact mills, roller mills and ball media mills). Low speed mills are robust but have a high ...
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As a transfer learning method, joint distribution adaptive (JDA) can effectively solve the learning problem of inconsistent distribution of training data and test data. In this paper, a new bearing fault diagnosis method based on JDA and deep belief network (DBN) with improved sparrow search algorithm (CWTSSA), namely JACADN is proposed.
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The rough rolling mill operates under harsh conditions such as high impact, low speed, and heavy load. The status monitoring and fault diagnosis of split rolling …
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In actual industrial production, labeled sample data of a ball mill is difficult to obtain under variable working conditions. Aiming to realize the soft measurement of ball …
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Increasingly, therefore, eady-warning devices are being employed in an effort to prevent catastrophic breakdown. This book provides the first co-ordinated compilation of fault diagnosis and con dition monitoring devices. It proceeds in three logical steps. The eady chapters deal with those conditions which contribute to deterioration and the ...
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We explore a reliable and practical fault diagnosis scheme for the ball mill system that is widely used in the building material industry. With utilizing the signal acquisition and process system of vibration, the field testing and analysis are performed based on the violent vibration of an edge-transmission Φ3×11m ball mill system.
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The establishment of this model provides a new idea for the study of coal mill fault diagnosis. ... An on-line model based approach for tube-ball mill condition monitoring and fault detection was ...
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Intelligent mechanical fault diagnosis is a crucial measure to ensure the safe operation of equipment. To solve the problem that network features is not fully utilized in the adversarial transfer learning, this paper develops a Wasserstein distance based deep multi-feature adversarial (WDDMA) transfer diagnosis approach under variable working …
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Therefore, the aim of this study is to present the recent trends in research on the vibration measurement technique for detection of fault in rolling element bearings. 2. Defects in Bearings Several researchers have explained the mechanism of vibration in the bearings [2, 6, 7, 8]. Even a healthy bearing generate vibration, but the presence of ...
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Ball mills are extensively used in the size reduction process of different ores and minerals. The fill level inside a ball mill is a crucial parameter whic ... From the literature review, it is observed that the ANN has been used for estimation of different process parameters, fault diagnosis, condition monitoring, etc. using different input ...
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In order to realize the fault diagnosis of coal mill with low cost and high accuracy, a fault diagnosis method of coal mill system based on the simulated typical fault samples is proposed. ... A new model-based approach for power plant Tube-ball mill condition monitoring and fault detection. Energy Convers. Manage., 80 (2014), pp. 10-19. …
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In his study, neural network-based fault diagnosis was used as pattern recognition tool to discriminate the patterns of faulty from healthy blades using signals measured from twelve different sensors or signals such as vibration and pressure signals. Loukis et al. presented an automated blade faults detection method based on spectral …
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Zheng et al. [9] proposed a hidden Markov model approach to achieve the application of ball mill gearbox fault diagnosis. The above methods have a powerful function for simulating the real system. ...
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