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This research describes a deep learning-based artificial neural network (ANN) approach for the detection, classification, and localization of series faults (open conductor faults) in power distribution networks. The ANN ...

Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...

Grid-forming (GFM) converters are increasingly deployed to support power system stability in low-inertia grids. However, the impact of voltage magnitude control strategies on transient stability under fault conditions re...

Abstract Accurate prediction of cascading faults in power grids can ensure system stability and prevent large-scale outages. Existing methods typically require learning effective statistical information from datasets wit...

The inherent non-stationarity, weak periodicity, and abrupt transient mutations of wind turbine gearbox vibration signals present substantial challenges to traditional diagnostic frameworks. To improve diagnostic accurac...

Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...

Introduction. Self-excited induction generators (SEIGs) play a vital role in renewable energy systems, particularly in remote regions. However, their performance is highly sensitive to excitation capacitance, rotor speed...

Laminate composites offer an effective strategy to overcome strength-ductility trade-off by harnessing the synergistic properties of constituent metals. In the TA1/304 steel composite, a unique nano-scale heterostructure...

Structural health monitoring (SHM) has become a central tool for managing civil infrastructure. In modern SHM, the physical structure and the SHM system together form a coupled cyber-physical system. Due to the networked...

Abstract Persistent fault analysis is effective when a single element of the S-box is altered. However, most fault injection techniques tend to induce multiple faults. In such multiple-fault scenarios, existing key recov...

Aiming at the problem that the topology of low-voltage distribution network is complex and leads to low fault segment localization accuracy, a fault segment localization method based on voltage difference network mapping...

Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

In the writings of American intellectuals and students during the interwar period, Kraków and Jagiellonian University appear as an example of an old space, sanctified by tradition, with beautiful monuments and culture, ...

Abstract The space microgravity environment, scarcely attainable on Earth, is considered to have a positive effect on crystal growth, especially the van der Waals layered materials with low interlayer sliding energy barr...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

The number of disassembly smart electricity meters caused by the reincarnation, replacement, failure, and demolition of electricity meters has increased dramatically, and it is of great significance to analyze the faults...

The fault is caused by the periodic variation in the amplitude and phase angle of the measured impedance under the adaptive islanding operation of the microgrid. A fault differential elastic recovery technology for micro...

Abstract Production safety and efficiency depends on the reliability of the critical components in industrial equipment. However, signals measured by sensors may have complicated nonlinear and long-term sequential dynami...

Abstract The 2023 Gansu Jishishan MS 6.2 earthquake provides seismological evidence for investigating the origin and evolution of the Lajishan fault zone. To better understand the connection between this tectonic evoluti...

Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0. Industrial robots are nonlinear, complex, an...

Abstract Yunkai area is located in the southwest of South China Block and is characterized by widespread granite distribution, dense hot spring occurrences, and well-developed deep faults, indicating significant geotherm...

Rapid urbanization and increasing energy demand have intensified environmental pressures, particularly in the transportation sector, which remains one of the largest contributors to greenhouse gas emissions. Although ele...