E-viri
Recenzirano
-
Luo, X.J.; Fong, K.F.
Energy and buildings, 12/2020, Letnik: 228Journal Article
In building application, sensor faults in chilled water system would cause extra electricity consumption or thermal comfort problems. In the computerized building management system, it is important to automatically detect, diagnose and correct different categories of sensor faults. To realise this aim, a novel 2-stage pattern recognition-enhanced sensor fault detection and diagnosis (PRe-SFDD) was formulated. At the first-stage pattern recognition, various featuring patterns were generated through sensor reading datasets from both fault-free and different faulty test cases. At the second-stage pattern recognition, one-day featuring patterns were used to diagnose the sensor faults of positive bias, negative bias, precision degradation and general drift; while 3-day featuring patterns would allow further recognise the drift fault to be positive or negative. Hence, different categories of sensor faults could be automatically detected, diagnosed and corrected through the proposed pattern recognition strategy. For a representative chiller plant, it was found that the successful diagnosis ratio of the 2-stage PRe-SFDD were 97.9%, 100%, 96.4%, 95.4% and 98.1% for positive bias, negative bias, precision degradation, positive drift and negative drift, respectively. In addition, characteristic curves of clustering score values were constructed for correction of the extent of sensor faults.
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.