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Year | Number of Results |
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2017 | 2 |
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Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors.
IEEE Trans Neural Netw Learn Syst. 2022 Feb 18;PP. doi: 10.1109/TNNLS.2022.3144162. Online ahead of print.
IEEE Trans Neural Netw Learn Syst. 2022.
PMID: 35180085
A KPI-based process monitoring and fault detection framework for large-scale processes.
Zhang K, Shardt YAW, Chen Z, Yang X, Ding SX, Peng K.
Zhang K, et al. Among authors: shardt yaw.
ISA Trans. 2017 May;68:276-286. doi: 10.1016/j.isatra.2017.01.029. Epub 2017 Feb 9.
ISA Trans. 2017.
PMID: 28190565
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A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.
Zhang Y, Yang X, Shardt YAW, Cui J, Tong C.
Zhang Y, et al. Among authors: shardt yaw.
Sensors (Basel). 2018 Sep 12;18(9):3058. doi: 10.3390/s18093058.
Sensors (Basel). 2018.
PMID: 30213097
Free PMC article.
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Using the expected detection delay to assess the performance of different multivariate statistical process monitoring methods for multiplicative and drift faults.
Zhang K, Shardt YAW, Chen Z, Peng K.
Zhang K, et al. Among authors: shardt yaw.
ISA Trans. 2017 Mar;67:56-66. doi: 10.1016/j.isatra.2016.11.007. Epub 2016 Nov 25.
ISA Trans. 2017.
PMID: 27894700
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