Results 241 to 250 of about 12,263,286 (349)

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

Phase Selection Method for 10 kV Three-Core Cables Under Single-Phase Grounding Fault Transient Based on Surface Magnetic Field Sensing. [PDF]

Sensors (Basel)
Wang H, Weng T, Ding W, Yang S, Xiao Z, Li H, Chen J.   +6 more
europepmc   +1 more source

Fault Current Limiters

openaire   +2 more sources

Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling

Advanced Engineering Materials, EarlyView.
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer, Eric R. Hoglund, Anton V. Ievlev, Patrick E. Hopkins   +3 more
wiley   +1 more source

Recognition of Output-Side Series Arc Fault in Frequency Converter-Controlled Three-Phase Motor Circuit. [PDF]

Sensors (Basel)
Tang A, Wang Z, Gao H, Han C, Guo F.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Self-Powered Sensing System for Electric Vehicle Drive Condition Monitoring and Driving Condition Identification in Intelligent Electric Vehicles. [PDF]

Research (Wash D C)
Tang J, Li H, Hu Y, Shang Y, Li H, Tian H, Liu P, Zhou L, Zhang J, Zhao H.   +9 more
europepmc   +1 more source

The evolution characteristics of leakage current in traction network surge arresters under complex operating conditions. [PDF]

Sci Rep
Pengxiong W, Lifeng F, Yongqiang G, Fuqiang T.   +3 more
europepmc   +1 more source

A Rolling Bearing Fault Diagnosis Method Based on PSO-Optimized FHN Stochastic Resonance. [PDF]

Sensors (Basel)
Wang Z, Chen Y, Dai Q, Wang J, Hu J, Wu L, Qin R.   +6 more
europepmc   +1 more source

Transmission line fault detection and classification using bi-orthogonal wavelet transform (5.5) based signal decomposition. [PDF]

Sci Rep
Chothani N, Sheikh M, Patel D, Singh S, Varshney D, Chan CK, Sonawane C, Bongale A.   +7 more
europepmc   +1 more source