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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119· Additionally, the paper describes the practical deployment of the DCAN-based anomaly detection model for bearing fault detection, utilizing data from the ball mill bearings of …
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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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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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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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Fault diagnosis of a ball mill is a typical multi-dimensional data mining problem in complex industrial processes. The difficulty of this problem lies in the low accuracy and high time …
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The invention discloses a ball mill fault diagnosis method and system based on a hybrid neural network, and relates to the technical field of fault diagnosis. The method merges a plurality of …
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202569· Ball mills are key equipment in industries such as mining, building materials, and chemicals, but various faults are inevitable in long-term operation. Understanding the causes …
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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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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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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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Sensors for prediction of fault diagnosis are mounted at the marked positions in motor and gearbox. (See Figure 1). The Cement ball mill contains a hollow cylinder (filled with …
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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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Aiming at the problem that the direct fusion of current and vibration signals cannot reflect the advantages of the two types of signals in different frequency bands and the complementary …
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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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˝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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202414· Bearing failure is one of the common failure modes of ball mills. Common bearing detection and diagnosis methods in production practice mainly include vibration diagnosis …
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The method is verified by the measured data of the ball mill rolling bearing of Jinchuan Company and the Paderborn University data set, which proves the effectiveness of the proposed …
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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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WANG J H，ZHOU D Y，CAO J，et al. Fault diagnosis of ball mill rolling bearing based on multi-feature fusion and RF[J]. Journal of Beijing University of Aeronautics and Astronautics，，49（12）：3253-3264 （in Chinese） …
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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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2024315· Since vibration signal could reflect mechanical equipment internal health state to a certain extent, various vibration-based methods are introduced to realize the fault diagnosis …
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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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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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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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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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The results of fault diagnosis using the ball mill dataset for all methods are shown in Table 4. Regardless of whether it is comparative or ablation studies, IMLNet achieves a higher …
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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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2024629· Recently, deep learning approaches have displayed promising outcomes in handling time series data.This paper introduces a novel approach utilizing a multi-channel two …
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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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