AIMC Topic: Electricity

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An Open-Environment Tactile Sensing System: Toward Simple and Efficient Material Identification.

Advanced materials (Deerfield Beach, Fla.)
Robotic perception can have simple and effective sensing functions that are unreachable for humans using only the isolated tactile perception method, with the assistance of a triboelectric nanogenerator (TENG). However, the reliability of triboelectr...

Self-Healable, Self-Repairable, and Recyclable Electrically Responsive Artificial Muscles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Elastomers with high dielectric permittivity that self-heal after electric breakdown and mechanical damage are important in the emerging field of artificial muscles. Here, a one-step process toward self-healable, silicone-based elastomers with large ...

Health Index Estimation of Wind Power Plant Using Neurofuzzy Modeling.

Computational and mathematical methods in medicine
According to the Tamil Nadu Energy Development Agency (TEDA) in the 2019-20 academic year, the wind power plant produces 23% of the biomass power supply in the Indian electrical commodities. To maintain the power withstanding capability needed for fu...

Self-Powered Tactile Sensor for Gesture Recognition Using Deep Learning Algorithms.

ACS applied materials & interfaces
A multifunctional wearable tactile sensor assisted by deep learning algorithms is developed, which can realize the functions of gesture recognition and interaction. This tactile sensor is the fusion of a triboelectric nanogenerator and piezoelectric ...

Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm.

Sensors (Basel, Switzerland)
Distributed Energy Resources (DERs) are growing in importance Power Systems. Battery Electrical Storage Systems (BESS) represent fundamental tools in order to balance the unpredictable power production of some Renewable Energy Sources (RES). Neverthe...

Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion.

Sensors (Basel, Switzerland)
Only with new sensor concepts in a network, which go far beyond what the current state-of-the-art can offer, can current and future requirements for flexibility, safety, and security be met. The combination of data from many sensors allows a richer r...

Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

Computational intelligence and neuroscience
With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricit...

Neuromorphic behaviour in discontinuous metal films.

Nanoscale horizons
Physical systems that exhibit brain-like behaviour are currently under intense investigation as platforms for neuromorphic computing. We show that discontinuous metal films, comprising irregular flat islands on a substrate and formed using simple eva...

Electrically Controlled Aquatic Soft Actuators with Desynchronized Actuation and Light-Mediated Reciprocal Locomotion.

ACS applied materials & interfaces
Soft-bodied aquatic invertebrates can overcome hydrodynamic resistance and display diverse locomotion modes in response to environmental cues. Exploring the dynamics of locomotion from bioinspired aquatic actuators will broaden the perspective of und...

Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception.

ACS nano
IntelliSense fabrics that can sense transient mechanical stimuli are widely anticipated in flexible and wearable electronics. However, most IntelliSense fabrics developed so far are only sensitive to quasi-static forces, such as stretching, bending, ...