Results 161 to 170 of about 3,735 (200)

U-AttentionFlow: A Multi-Scale Invertible Attention Network for OLTC Anomaly Detection Using Acoustic Signals. [PDF]

Sensors (Basel)
Kim D, Hwang H, Kim H.
europepmc   +1 more source

Multi-level regulation of hindgut homeostasis by volatile fatty acid administration in dairy goats: linking microbial metabolism to epithelial inflammation and barrier function. [PDF]

mSystems
Zhen Y, Rahmat A, Zhang C, Lin J, Ma J, Zhong Y, Wang M.   +6 more
europepmc   +1 more source

Research on the characteristics of partial discharge gas generation in typical defects of oil immersed current transformers. [PDF]

Heliyon
Feng Y, Li J, Xu G, Yang D, Zhang X.
europepmc   +1 more source

Research on transformer fault diagnosis method based on ACGAN and CGWO-LSSVM. [PDF]

Sci Rep
Guan S, Wu TY, Yang HQ.
europepmc   +1 more source

Tip Discharge Evolution Characteristics and Mechanism Analysis via Optical-Electrical Sensors in Oil-Immersed Transformers. [PDF]

Sensors (Basel)
Chen Z, Qian Y, Sheng G, Wang F, Xue B, Zhang C, Liu C.   +6 more
europepmc   +1 more source

A new intelligent method based on cognitive artificial intelligence for predicting transformer remaining useful life. [PDF]

MethodsX
Febriani NA, Syamsiana IN, Sumari ADW, Sutjipto R, Hidayat MN, Febrianto H.   +5 more
europepmc   +1 more source

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Dissolved Gas Analysis (DGA) of Thermally Aged Blended Transformer Oil

2020 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), 2020
Vegetable based ester oils (VOs) are potential substitute of mineral insulating oils (MOs) in transformers due to their enhanced dielectric properties and better biodegradability. Retro filling of operating transformers originally filled with MO by VO is a real possibility, resulting to a mixture of VO and MO, known as the blended oils (BOs).
Manas Chakraborty, Niharika Baruah, Rohith Sangineni, Sisir Kumar Nayak, Prabhat Kumar Maiti   +4 more
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Fault severity determination in transformers using dissolved gas analysis(DGA)

2015 Annual IEEE India Conference (INDICON), 2015
Severity is the intrinsic property of transformer faults. DGA of gaseous species evolving from power transformers due to electric and thermal stresses distinguishes between types of faults. No information about severity is provided by the DGA based techniques.
Shufali A Wani, Md. Umer Farooque, Shakeb A. Khan, Dhawal Gupta, Md. Ajmal Khan   +4 more
openaire   +1 more source