DOI: 10.1016/j.measurement.2020.107864 Corpus ID: 219007790; Research on fault diagnosis of coal mill system based on the simulated typical fault samples @article{Hu2020ResearchOF, title={Research on fault diagnosis of coal mill system based on the simulated typical fault samples}, author={Yong Hu and Boyu Ping and Deliang …

The third process, fault identification, includes estimating the size and time-variant behaviour of the fault. In this paper, fault detection techniques as applied to coal mills, are classified into four groups – quantitative methods, signal model based methods, qualitative methods, and process history based methods.

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 …

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 …

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 …

This project is concentrated on fault diagnosis in anti-friction bearings, at an early stage, to stop the catastrophic failure of Mill fan motor, and to find the root cause of failure component. ... Over the past decades there have been many major advances in the development of fault diagnosis of deep grove ball bearing and roller bearing had ...

The composition, working principle and fault mechanism of crusher, ball mill, rotary kiln and grate cooler are introduced above. This paper mainly summarizes the …

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 …

Just like a bloated stomach, if the amount of grinding exceeds the maximum capacity and discharge capacity, it will cause the mill shell to loses its grinding capacity, and that's why we call it "swollen belly". See more

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 …

Monitoring and diagnosis of coal mill systems are critical to the security operation of power plants. The traditional data-driven fault diagnosis methods often result in low fault recognition rate or even misjudgment due to the imbalance between fault data samples and normal data samples. In order to obtain massive fault sample data …

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 …

In this study, a fault diagnosis model was proposed on the basis of a dynamic model of a coal mill and deep belief network (DBN). First, a dynamic coal mill model that considered the joint influence of drying, ventilation and grinding forces was established. Parameters in the model were identified by designing a two-phase …

The common failure causes of gear and the methods of monitoring and diagnosis are given, which is of significance for reducing accidents, reducing …

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, …

Download Citation | On Jun 1, 2020, Xutong Song and others published Fault Diagnosis and Analysis of Ball Mill Jars Based on Wavelet Denoising and AR model Power Spectrum | Find, read and cite all ...

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

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 ...

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. (2014) Z.G. Su et al.

Ball mill is a typical representative of mineral processing equipment in mining machinery. This paper was concerned with the deterioration process of monitoring of gear, including the change of vibration and the spectrum characteristics. The common failure causes of gear and the methods of monitoring and diagnosis are given, which is of ...

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.

mill in Sweden, and fifteen employees in 1907, SKF has grown to become a global industrial knowledge leader. Over the years, we have built on our exper-tise in bearings, extending it to seals, mecha-tronics, services and lubrication systems. Our knowledge network includes 46 000 emplyees, o 15 000 distributor partners,

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. …

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. …

Download scientific diagram | Working process of a Tube-ball mill. from publication: A new model-based approach for power plant Tube-ball mill condition monitoring and fault detection | With the ...

3.2 Third Stage Wheel Fault. To detect wheel fault at the 3 rd stage gearbox, we trend the sum of sidebands of its TMF with spacing of the running speed of intermediate-speed shaft. Figure 4 displays the trend of the descriptor for a turbine having 3 rd stage wheel fault. The fault started to develop in December 2015. The turbine owner …

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 ...

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. …

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 ...

This paper presents a detailed of the different detection techniques used for measuring rolling bearing defects. From in depth study, four different methods for detection and diagnosis of bearing ...

attribute reduction had been saved, it had the BP neural network knowledge base of fault diagnosis. Fig4 was the network training interface and fault diagnosis tables of ball mill, the failure data were input to the diagnostic table, set the fault threshold was 0.7, if the fault threshold greater than 0.7, the fault had been considered.

Fault diagnosis of rolling element bearings is beneficial to preventing any unexpected accident and reducing economic loss. In the past years, many bearing fault detection methods have been developed.

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 …

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.

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. …

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 ...

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 ...

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,

In this paper, a vibration monitoring-based method is proposed and tested for estimating the fill level inside a laboratory-scale ball mill. A vibration signal is captured …