Canonical Variate Residuals-Based Fault Diagnosis for Slowly Evolving Faults
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Li, Xiaochuan | en |
| dc.contributor.author | Mba, David | en |
| dc.contributor.author | Diallo, Demba | en |
| dc.contributor.author | Delpha, Claude | en |
| dc.date.acceptance | 2019-02-18 | en |
| dc.date.accessioned | 2019-02-28T09:10:30Z | |
| dc.date.available | 2019-02-28T09:10:30Z | |
| dc.date.issued | 2019-02-22 | |
| dc.description | open access article | en |
| dc.description.abstract | This study puts forward a novel diagnostic approach based on canonical variate residuals (CVR) to implement incipient fault diagnosis for dynamic process monitoring. The conventional canonical variate analysis (CVA) fault detection approach is extended to form a new monitoring index based on Hotelling’s T2, Q and a CVR-based monitoring index, Td. A CVR-based contribution plot approach is also proposed based on Q and Td statistics. Two performance metrics: (1) false alarm rate and (2) missed detection rate are used to assess the effectiveness of the proposed approach. The CVR diagnostic approach was validated on incipient faults in a continuous stirred tank reactor (CSTR) system and an operational centrifugal compressor. | en |
| dc.exception.reason | The output was published as gold open access | en |
| dc.funder | N/A | en |
| dc.identifier.citation | Li, X., Mba, D., Diallo, D. and Delpha, C. (2019) Canonical Variate Residuals-Based Fault Diagnosis for Slowly Evolving Faults. Energies, 12(4), p.726. | en |
| dc.identifier.doi | https://doi.org/10.3390/en12040726 | |
| dc.identifier.uri | http://hdl.handle.net/2086/17585 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | N/A | en |
| dc.publisher | MDPI | en |
| dc.researchgroup | Institute of Artificial Intelligence (IAI) | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | slowly evolving faults | en |
| dc.subject | fault detection | en |
| dc.subject | fault identification | en |
| dc.title | Canonical Variate Residuals-Based Fault Diagnosis for Slowly Evolving Faults | en |
| dc.type | Article | en |