1 Vibration Analysis for Fault Diagnosis in an Overflow Ball Mill: A Case Study at Sarcheshmeh Copper Complex Amir Hosseinnakhaei a, Masoud Rezaeizadeh b*, Emad Jomehzadeh b …
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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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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 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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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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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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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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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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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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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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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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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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2024512· This study proposes a rolling mill fault diagnosis approach utilizing multi-sensor data, guided by multi-scale impact characteristics and dual attention mechanisms, to …
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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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202551· An adaptive fault diagnostic method is designed to enhance manufacturing sustainability and reduce errors across machining process lifecycles. The innovations of the …
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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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1130· Aiming at these problems, we propose a rolling mill fault diagnosis method based on time–frequency image and Dual Attention-guided Feature Enhancement Network …
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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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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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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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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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2013111· Download Citation | Application of Hidden Markov Models in Ball Mill Gearbox for Fault Diagnosis | In this paper, a ball mill gear reducer was regarded as the research …
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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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feature fusion, fault diagnosis, ball mill, feature extraction, random forest Abstract. Due to the complex working conditions of the metallurgical industry, it is difficult to obtain high-quality fault …
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611· 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, …
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20241018· Download Citation | Fault diagnosis method of rolling bearing of BN ball mill based on AESL-GA | Aiming at the shortcomings of incomplete and inaccurate knowledge …
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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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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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