Diagnostics of the Technical Condition of Rolling Bearings of Asynchronous Traction Motors of Locomotives Based on Data Mining

Grishchenko, A. V.; Кручек, В А; Kurilkin, Dmitry; Khamidov, О. R.

doi:10.3103/s1068371220100041

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…The research of cognitive diagnosis relies on online learning. The principal goal of the online learning system is to let students learn as much knowledge as possible [ 22 , 23 ]. One research focus is to reasonably connect learning resources with students’ knowledge state.…”

Section: Educational Theories and Personalized Recommendation Systemmentioning

confidence: 99%

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things

Yang

2022

PLoS ONE

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To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the Internet of Things (IoT). At first, a discussion is made on the characteristics of history course, which is combined with the characteristics of teaching data easy to collect under the background of IoT. An analysis is conducted on the related theory of educational data mining. Then, the concept of personalized recommendation is proposed based on deep learning (DL) algorithm. Finally, online and offline experiments are designed to verify the performance of the algorithm from review and investigation, smoothness, and participation of difficulty. The research results show that in terms of offline recommendation accuracy, the average record length in Math data set is 24.5, which is much smaller than that in range data set. The research has obvious innovation significance compared with other studies. In the process of target review and investigation, it is found that the research method here involves a wider range of knowledge and higher reliability. In terms of the difficulty of recommending questions, the Deep Reinforcement Exercise (DRE) recommendation algorithm can adaptively adjust the difficulty of recommending questions. It also allows students to set different learning goals through participation goals. But in the experiments on Math data set, Step 10’s recommendation results are not very good, and the difficulty level varies greatly. If the goal setting is high, the problem recommended to students is too difficult, students may answer these questions wrongly, forcing the algorithm to adjust the difficulty adaptively. According to the above results, DRE recommendation algorithm can adapt to different learning needs and customize the recommendation results, thus opening up a new path for the teaching of western music history. Besides, the combination of DL algorithm and western music history teaching design can recommend learning materials, which is of great significance in the teaching of history courses.

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Section: Educational Theories and Personalized Recommendation Systemmentioning

confidence: 99%

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things

Yang

2022

PLoS ONE

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“…One implication is that it is reducing the carbon footprint of trade between the two regions. Rail freight is a more environmentally friendly way to transport goods than sea freight [17][18][19][20][21][22][23][24].…”

Section: The Opportunitiesmentioning

confidence: 99%

The Economic Impact of the UzTE16M3 Diesel Locomotive on the Marokand-Kattakurgan Railway Section

Ablyalimov,

Rajibaev

2023

E3S Web Conf.

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The Role of FDI and Rail Transport in the Economic Development of Central Asia. This paper examines the role of foreign direct investment (FDI) and rail transport in the economic development of Central Asia. The paper begins by providing an overview of the economic development of the region, with a focus on the role of FDI. The paper then discusses the role of rail transport in the region, and the implications of the growth in rail freight between China and Europe. The paper concludes by discussing the challenges and opportunities facing Central Asia in the coming years. Central Asia has attracted significant FDI in recent years, due to the region’s abundant natural resources, its strategic location, and its improving business environment. FDI has helped to improve the infrastructure in Central Asia, and has also created jobs and boosted economic growth. Rail transport is also a key driver of economic growth in Central Asia. The growth in rail freight between China and Europe is a positive development for Central Asia, as it provides an opportunity for the region to become a major transit hub. However, Central Asia still faces a number of challenges, such as political instability and economic volatility. If Central Asia can overcome these challenges, it has the potential to become a major economic player in the years to come.

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“…Gholizadeh et al [8], established three prediction models based on fuzzy theory in the research process: Fuzzy exponential smoothing method, fuzzy linear regression method and fuzzy cluster forecasting method, predict the medium and long-term load in the power system, the results show that the three models have better prediction effects than traditional methods. Burgess-Limerick et al established a model using gray theory, and use this model in the detection of the input signal of the integrator of the voltage-controlled oscillator circuit of a certain type of transmission control equipment, it is proved that the gray theory is feasible for predicting the health status of electronic systems [9]; Grishchenko et al [10] proposed an adaptive GM(1, 1) model based on gray theory, it is used to solve the problem of excessive interval in the prediction of wind speed and wind turbine output power by the traditional GM(1, 1) model; Yilmaz [11] used the neural network method to better reflect the relationship between the development trend of the actual working status and the status signal, for multi-parameter, multi-step prediction, strong dynamic adaptability, suitable for nonlinear complex systems and other characteristics, in wind speed prediction, power consumption prediction, power station boiler operation performance prediction, neural network theory is used in the short-term prediction of heating network heating. Seera et al [12], using expert systems, considering more factors, makes the prediction accuracy of the power system load higher, it is more suitable for actual production needs.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of operation vibration state of coal mine mechatronics equipment based on data mining

Jia¹,

Deb²,

Sajja³

2022

J. vibroeng.

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In order to explore the prediction of the operation vibration state of coal mine mechatronics equipment, the author proposes a method based on data mining in response to the problems of large amount of data in the operating state of coal mine electromechanical equipment, low data utilization, and slow speed of single-machine massive data mining, using Map Reduce technology, a dual Map Reduce mining prediction framework is proposed, establish a data mining prediction model for the running state of dual Map Reduce, using MapReduce1 to extract features of monitoring data, use MapReduce2 to predict and analyze feature data. Finally, by building the Hadoop platform, reveal the relationship between Hadoop cluster nodes and parallel processing speed, the efficiency of the data mining prediction framework is verified: Perform an experimental comparative analysis of the single prediction model and the proposed AGB combined prediction model, the prediction accuracy of the AGB combined prediction model is verified.

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Diagnostics of the Technical Condition of Rolling Bearings of Asynchronous Traction Motors of Locomotives Based on Data Mining

Cited by 12 publications

References 4 publications

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things

The Economic Impact of the UzTE16M3 Diesel Locomotive on the Marokand-Kattakurgan Railway Section

Prediction of operation vibration state of coal mine mechatronics equipment based on data mining

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