CN114547796B
The invention discloses a ball mill feature fusion fault diagnosis method based on an optimized BN network, which includes: collecting historical operation data of the ball mill and expert …
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Fault diagnosis for ball screws in industrial robots under variable …
2024101· Only a limited number of studies have utilized non-vibration signals to conduct fault diagnosis of ball screws in industrial robots, and existing methods have to combine …
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: …
20171130· The experimental results show that the fault diagnosis is predictive in the case of further optimization of the evaluation index. Finally, the construction and implementation …
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ball mill fault diagnosis
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Application of Hidden Markov Models in Ball Mill Gearbox for Fault …
In this paper, a ball mill gear reducer was regarded as the research object. Based on the HMM pattern recognition theory, DHMM methods that were used in fault diagnosis had been …
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A new model-based approach for power plant Tube-ball mill …
201441· The early work on mill modelling has been reviewed and compared by Austin in 1971 ([5]).Austin et al. in their series of papers [6], [7], [8], analysed a ball-and-race mill and …
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An Intelligent Ball Bearing Fault Diagnosis System Using …
Faults in the ball bearing are a major cause of failure in rotating machinery where ball bearings are used. Therefore, there is a growing demand for ball bearing fault diagnosis to prevent …
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A framework for fault diagnosis and classifications of rolling …
2025522· As the industrial level improved, modern mechanical systems are increasingly pursuing precision, efficiency and complexity. However, this will significantly increase the …
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A parallel ensemble optimization and transfer learning based
202411· With the advancement in research, it will become a trend to choose different neural networks or optimization functions to improve and re-model fault diagnosis methods. …
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Application research on rough set -neural network in the …
The flow chart of ball mill fault diagnosis as shown in Fig.1. Xijuan Wang et al J. Chem. Pharm. Res., 2014, 6(4):834-838 _____ 835 Fig. 1. The flow chart of ball mill fault diagnosis Fault …
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Research on fault diagnosis of coal mill system based on the …
202091· For model-based fault diagnosis method, it first needs to establish a mathematical model of the coal mill. Odgaard et al. [2] used a simplified energy balance equation to monitor …
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INTELLIGENT FAULT DIAGNOSIS OF THE GEARBOX FOR A …
recognition, thereby greatly improving the fault diagnosis robustness of complex rolling mill gearbox equipment and overcoming the limitations of traditional methods [22]. For example, …
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Intelligent fault diagnosis of helical gearboxes with compressive
21· The fused signals or features are further combined with deep learning methods for intelligent fault diagnosis [28]. For example, Xia et al. [29] arranged raw data from multiple …
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CN117556344A
The invention discloses a fault diagnosis method and a fault diagnosis system for a ball mill transmission system based on multi-source information fusion, wherein the fault diagnosis …
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Ball Bearing Fault by Feature Extraction and Fault Diagnosis …
527· The bearing is a very important part of rotating machinery because it has a very high failure rate. If the high failure rate in bearing would affect the entire performance of the …
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Research on bearing fault diagnosis based on improved …
˝e fault sample signals were collected by whole cycle sampling of inner ring faults, outer ring faults, and roll-ing ball faults. e time-domain vibration signal and frequency-domain vibration
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Condition monitoring and fault diagnosis of ball mill gear
Download Citation | On Jun 1, , 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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Review of Control and Fault Diagnosis Methods Applied to Coal Mills
201557· Low speed mills are robust but have a high specific power consumption, whereas medium speed mills (e.g. vertical roller mills, vertical spindle bowl mills and ring-and-ball mills) …
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Why to Diagnose Ball Mill Fault?
In the production of modern mineral processing technology, fault diagnosis technology of mineral processing machinery and equipment has gradually received attention. If major equipment …
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Fault diagnosis of ball mill rolling bearing based on multi-feature
The diagnosis effect is unsatisfactory because it is challenging to extract high-quality fault characteristics from a single signal given the complicated working conditions of the …
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CN114547796A
The invention discloses a ball mill characteristic fusion fault diagnosis method based on an optimized BN network, which comprises the following steps: collecting historical operation data …
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Fault Diagnosis and Analysis of Ball Mill Jars Based on Wavelet
2020629· 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 …
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Fault diagnosis of dynamic processes with reconstruction and …
41· Fault diagnosis is achieved by locating the faulty variables or by classifying the candidates using the fault direction feature or shape feature. materials in large size are …
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Condition monitoring and fault diagnosis of ball mill gear
611· Ball mill is a typical representative of mineral processing equipment in mining machinery. This paper was concerned with the deterioration process of monitoring.
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: …
20171130· The experimental results show that the fault diagnosis is predictive in the case of further optimization of the evaluation index. Finally, the construction and implementation …
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AESL-GABN
WANG J H，TANG G D，CAO J，et al. Fault diagnosis method of BN ball mill rolling bearing based on AESL-GA[J]. Journal of Beijing University of Aeronautics and …
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CN114547796A
The invention discloses a ball mill characteristic fusion fault diagnosis method based on an optimized BN network, which comprises the following steps: collecting historical operation data …
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Fault diagnosis method of BN ball mill rolling bearing based on …
To address the imperfect and imprecise shortcomings of the knowledge-based Bayesian network (BN) construction method, this paper proposes a BN structure construction method based on …
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