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Recognition of Working Condition in Cement Rotary Kiln Based on Generalized Dimensions
Applied Mechanics and Materials, 2015There has been a tight correlation between the change of the cement rotary kiln carrent and operation conditions, such as the kiln thermal condition, the thickness of the crust, the kiln tyre collapse and so on. Considering the different fractal characteristics that cement rotary kiln current signal exhibit in different conditions, this paper has study
Hui Zhao, Jian Liu, Hong Jun Wang
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Driving style recognition considering speeding behavior under different working conditions
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile EngineeringThe driving style of the driver has a significant impact on the safety of vehicle operation. This paper proposes a driving style recognition model that takes into account speeding behavior, aiming to improve the accuracy of driving style recognition. Initially, vehicle operation data is collected through on-road experiments with drivers.
Bingzhan Zhang +5 more
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Pattern Recognition on Diesel Engine Working Conditions by Wavelet Kullback-Leibler Distance Method
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2005This article introduces a novel pattern recognition and fault diagnosis method for diesel engines. The method is developed from engine vibration signal analysis in combination with wavelet and Kullback-Leibler distance (KLD) approaches. The new approach is termed wavelet Kullback-Leibler distance (WKLD).
Zhou, P., Li, H., Clelland, D.
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PV series arc fault recognition under different working conditions with joint detection method
2016 IEEE 62nd Holm Conference on Electrical Contacts (Holm), 2016In recent years, increasing fire accidents in the photovoltaic (PV) system by PV series arc fault cause huge economic losses and pose great threats to its operating safety. However, increasing PV voltage and maximum power point track (MPPT) from the inverter during arc ignition make PV series arc fault complex to be detected.
Silei Chen, Xingwen Li
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The recognition of working condition of cement rotary kiln based on information fusion
2009 IEEE International Conference on Automation and Logistics, 2009The rotary kiln is a non-linear controlled object with multi-factors, slow time-variable, big time lag and close coupling, and it is difficult to establish its precise mathematical model. In this article the tendency type of the main examination parameters is recognized with an improved ART-2 cluster parsing algorithm.
Zhugang Yuan +3 more
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Crop working condition surveillance of plant agriculture based on fuzzy pattern recognition
SPIE Proceedings, 2001Plant agriculture gives a possibility for Chinese people to overcome that problem. In order to ensure theproductivity and quality, favorable condition of the crop in plant agriculture must be supplied. So, it is necessary to considerthe relationship between the quality of the crop raising environment and the parameter of temperature, moisture and ...
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Working Condition Recognition of Cement Decomposition Furnace Based on ART-2 Neural Network
2014 Sixth International Conference on Measuring Technology and Mechatronics Automation, 2014This paper advances a two-stage ART-2 neural network method on working condition recognition of cement decomposition furnace. The process parameters describing cement decomposition furnace conditions are determined based on the process design requirements and the analysis of field operation experience.
Song Qiuyun, Yuan Zhugang
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Working condition recognition of grate cooler based on an improved K-means clustering algorithm
2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020The working condition control of grate cooler always affects the efficiency of the whole cement process. In order to solve the working condition of grate cooler too parameter dimension and strong coupling problem, and according to the actual production of collecting the data of grate cooler used principal component analysis combined with an improved k ...
Wang Shenghui, Zhao Siyue
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Pattern Recognition for the Working Condition Diagnosis of Oil Well Based on Electrical Parameters
2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018The measured dynamometer card used to analyze working conditions of pumping units requires a large amount of manpower and material resources, and thus it is very necessary to develop a novel and simple method for the diagnosis of pumping conditions. In this paper, a pattern recognition algorithm is proposed for the classification of working conditions ...
Jin Zhuo +3 more
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