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Quiñones-Grueiro et al., 2019 - Google Patents

Data-driven monitoring of multimode continuous processes: A review

Quiñones-Grueiro et al., 2019

Document ID
16547155051760530324
Author
Quiñones-Grueiro M
Prieto-Moreno A
Verde C
Llanes-Santiago O
Publication year
Publication venue
Chemometrics and Intelligent Laboratory Systems

External Links

Snippet

Abstract The Internet of Things benefits connectivity and functionality in industrial environments, while Cloud Computing boosts computational capability. Hence, historical data from processes allows developing automatic strategies for improving efficiency and …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
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    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
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    • G05B23/0254Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
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