A study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data
Bibliographic Data
| ID | 21230657 |
|---|---|
| Authors | Cheng Fan (0000-0001-9353-5570, Shenzhen University), Yichen Liu (0000-0003-0950-3248, Shenzhen University), Xuyuan Liu (0000-0002-3507-4566, Shenzhen University), Yongjun Sun (0000-0002-5266-3645, City University of Hong Kong, corresponding author), Jiayuan Wang (0000-0002-9583-3659, Shenzhen University) |
| Year | 2021 |
| Volume | 70 |
| Pages | 102874 |
| Publication date | 2021-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102874 |
| OpenAlex | W3136172475 |
| Language | EN |
| Citations received | 2 |
| References cited | 42 |
Data mining · Fault detection and isolation · Labeled data · Machine learning · Reliability engineering · Supervised Learning · Systems engineering · Anomaly Detection Techniques and Applications · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Occupational Health and Safety Research · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |