Explainable artificial intelligence based heat recycler fault detection in air handling unit

Manik Madhikermi, Avleen Kaur Malhi*, Kary Främling

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

We are entering a new age of AI applications where machine learning is the core technology but machine learning models are generally non-intuitive, opaque and usually complicated for people to understand. The current AI applications inability to explain is decisions and actions to end users have limited its effectiveness. The explainable AI will enable the users to understand, accordingly trust and effectively manage the decisions made by machine learning models. The heat recycler’s fault detection in Air Handling Unit (AHU) has been explained with explainable artificial intelligence since the fault detection is particularly burdensome because the reason for its failure is mostly unknown and unique. The key requirement of such systems is the early diagnosis of such faults for its economic and functional efficiency. The machine learning models, Support Vector Machine and Neural Networks have been used for the diagnosis of the fault and explainable artificial intelligence has been used to explain the models’ behaviour.

AlkuperäiskieliEnglanti
OtsikkoExplainable, Transparent Autonomous Agents and Multi-Agent Systems - 1st International Workshop, EXTRAAMAS 2019, Revised Selected Papers
ToimittajatDavide Calvaresi, Michael Schumacher, Amro Najjar, Kary Främling
Sivut110-125
Sivumäärä16
DOI - pysyväislinkit
TilaJulkaistu - 11 syyskuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Workshop on Explainable Transparent Autonomous Agents and Multi-Agent Systems - Montreal, Kanada
Kesto: 13 toukokuuta 201914 toukokuuta 2019

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta11763 LNAI
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Workshop

WorkshopInternational Workshop on Explainable Transparent Autonomous Agents and Multi-Agent Systems
LyhennettäEXTRAAMAS
MaaKanada
KaupunkiMontreal
Ajanjakso13/05/201914/05/2019

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  • Siteeraa tätä

    Madhikermi, M., Malhi, A. K., & Främling, K. (2019). Explainable artificial intelligence based heat recycler fault detection in air handling unit. teoksessa D. Calvaresi, M. Schumacher, A. Najjar, & K. Främling (Toimittajat), Explainable, Transparent Autonomous Agents and Multi-Agent Systems - 1st International Workshop, EXTRAAMAS 2019, Revised Selected Papers (Sivut 110-125). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 11763 LNAI). https://doi.org/10.1007/978-3-030-30391-4_7