دورية أكاديمية
Fault identification for chiller sensor based on partial least square method
| العنوان: | Fault identification for chiller sensor based on partial least square method |
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| المؤلفون: | Wu Bang, Hu Yunpeng, Zhou Chuanhui, Chen Guaiguai, Li Guannan |
| المصدر: | E3S Web of Conferences, Vol 233, p 03057 (2021) |
| بيانات النشر: | EDP Sciences |
| سنة النشر: | 2021 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Environmental sciences, GE1-350 |
| الوصف: | Sensor failures can lead to an imbalance in heating, ventilation and air conditioning (HVAC) control systems and increase energy consumption. The partial least squares algorithm is a multivariate statistical method, compared with the principal component analysis, its compression factor score contains more original data characteristic information, therefore, partial least squares have greater potential for fault diagnosis than the principal component analysis. However, there are few studies based on partial least squares in the field of HVAC. In order to introduce partial least squares into the field, based on the partial least squares fault detection theory, a fault analysis method suitable for this field is proposed, and the RP1403 data published by ASHARE was used to verify this method. The results show that on the basis of selecting the appropriate number of principal components, partial least squares have the ability to diagnose the fault of the chiller sensor. With the known fault source, partial least squares regression, a method with better data reconstruction accuracy than principal component analysis, is used to repair the fault. Finally, the purpose of fault identification can be achieved. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English French |
| تدمد: | 2267-1242 |
| العلاقة: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_03057.pdfTest; https://doaj.org/toc/2267-1242Test; https://doaj.org/article/b4c60b0e69cb45e9802e0eb10718e71bTest |
| DOI: | 10.1051/e3sconf/202123303057 |
| الإتاحة: | https://doi.org/10.1051/e3sconf/202123303057Test https://doaj.org/article/b4c60b0e69cb45e9802e0eb10718e71bTest |
| رقم الانضمام: | edsbas.5949CA1B |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 22671242 |
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| DOI: | 10.1051/e3sconf/202123303057 |