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Shuaiyin Ma on Muck Rack

Shuaiyin Ma

As seen in: SAGE Publishing, Taylor & Francis Online
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Articles

A multi-domain data-driven and multiscale 1DCNN-based ensemble learning method for condition monitoring

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By Chun-hsien Chen, Wenqian Qi, Shuaiyin Ma, Bufan Liu
| Taylor & Francis Online
Condition monitoring is essential for ensuring smooth and efficient production. With advancements in information and communication technologies, condition monitoring has increasingly been facilitated into the data-driven paradigm, particularly the deep learning (DL) methods.
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Calculation method and its application for energy consumption of ball mills in ceramic industry based on power feature deployment

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By Jingxiang Lv, Zhiguo Wang, Shuaiyin Ma
| SAGE Publishing
Introduction In recent years, the manufacturing industry faces increasing pressure on environmental issues due to the use of energy. Energy consumption and its associated environmental impacts have drawn more and more attentions from many researchers in the field of manufacturing. Numerous studies have been carried out on the energy consumption modelling and optimisation of manufacturing industries, such as steel production [,], sand casting [] and machining industries [,].
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