Fault Detection on Big Data: A Novel Algorithm for Clustering Big Data to Detect and Diagnose Faults

Author:

Smith Avery J.,Powell Kody M.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference29 articles.

1. ‘Comparing a knowledge-based and a data-driven method in querying data streams for system fault detection: A hydraulic drive system application’;Alzghoul;Computers in Industry. Elsevier,2014

2. ‘Knowledge base operator support system for nuclear power plant fault diagnosis’;Ayodeji;Progress in Nuclear Energy. Pergamon,2018

3. ‘Data-driven Fault Detection and Diagnosis for HVAC water chillers’;Beghi;Control Engineering Practice. Pergamon,2016

4. Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes. 1st edn;Braatz,2000

5. ‘From “foodies” to “cherry-pickers”: A clustered-based segmentation of specialty food retail customers’;Calvo-Porral;Journal of Retailing and Consumer Services. Pergamon,2018

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