Results 121 to 130 of about 1,549 (171)

Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]

Sensors (Basel)
Wang W, Shen Y, Ni Y, Wu W.
europepmc   +1 more source

A Diagnosis-Based Siamese Network for Fault Detection Through Transfer Learning. [PDF]

J Chem Inf Model
Neto JG, Figueiredo K, Soares JBP, Brandão ALT.   +3 more
europepmc   +1 more source

Fault detection and diagnosis in photovoltaic systems using artificial intelligence and time-frequency analysis. [PDF]

Sci Rep
Seghiour A, Bendjeddou Y, Mostefaoui IM, Chouder A, Alharbi H, Humayd ASB, Wondimeneh AW, Babqi A.   +7 more
europepmc   +1 more source

Sample-efficient fine-tuning with textual prompts for time series forecasting. [PDF]

PLoS One
Wei K, Jing J, Liu J, Liu Q, Xie X.
europepmc   +1 more source

Can Focusing on One Deep Learning Architecture Improve Fault Diagnosis Performance? [PDF]

J Chem Inf Model
Neto JG, Figueiredo K, Soares JBP, Brandão ALT.   +3 more
europepmc   +1 more source

ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact. [PDF]

Sensors (Basel)
Liu X, Goh HH, Xie H, He T, Yew WK, Zhang D, Dai W, Kurniawan TA.   +7 more
europepmc   +1 more source

Real operational labeled data of air handling units from office, auditorium, and hospital buildings. [PDF]

Sci Data
Wang S.
europepmc   +1 more source

Adaptive lift chiller units fault diagnosis model based on machine learning. [PDF]

PLoS One
Guo Y, Tian Z, Wang H, Chen M, Chu P, Sheng Y.   +5 more
europepmc   +1 more source

Datasets of Faults in Variable Air Volume Terminal Units in a Multi-Zone Commercial Building. [PDF]

Sci Data
Jung S, Yoon Y, Im P.
europepmc   +1 more source

A semi-labelled dataset for fault detection in air handling units from a large-scale office. [PDF]

Data Brief
Wang S, Eum I, Park S, Kim J.
europepmc   +1 more source