Results 51 to 60 of about 383 (144)

Testicular Assessment in a Selected Group of Young Buffaloes Using Doppler Ultrasonography

Veterinary Medicine and Science, Volume 12, Issue 1, January 2026.
Doppler ultrasonography revealed increased peak systolic velocity (PSV) in pubertal buffalo bulls (16–18 months), indicating enhanced arterial perfusion, while other hemodynamic indices remained stable. Age‐related echotextural changes in testicular parenchyma were observed, supporting PSV as an early marker for pubertal onset and breeding soundness in
Rodrigo dos Santos Albuquerque, Janaina Barroso dos Santos, Moises Moreira Lima, Aluizio Otavio Almeida da Silva, Kayan da Cunha Rossy, Michel Santos e Cunha, Gabriela Melo Alves dos Santos, Francisco Décio de Oliveira Monteiro, Luisa Pucci Bueno Borges, Maria Eduarda Bastos Andrade Moutinho da Conceição, Bruno Moura Monteiro, Rinaldo Batista Viana, Leandro Nassar Coutinho, Moysés dos Santos Miranda, Pedro Paulo Maia Teixeira   +14 more
wiley   +1 more source

Ice Phenology and Thickness in Small Arctic Lakes: Field Observations and Mechanistic Controls

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract The Arctic is the fastest‐warming region globally. Lake ice is a sentinel indicator of Arctic change, with wide impacts on hydrological regimes, biodiversity, and ecosystem services. While small lakes are ubiquitous across northern boreal and tundra zones, ice observations remain biased toward large lakes with distinct freezing and melting ...
Ludwig Strötz, Matti Leppäranta, Kaarina Weckström, Maija Heikkilä, Jan Weckström   +4 more
wiley   +1 more source

Zero‐Shot‐Motivated Intelligent Fault Diagnosis: A Survey of Methods, Applications, and Future Directions

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
ABSTRACT Conventional fault diagnosis (FD) methods depend heavily on model precision and data quality, while traditional machine learning and deep learning pipelines typically require large volumes of labelled data. The development of transfer learning has opened an alternative route for learning‐based FD.
Zonggui Sui, Ping Wang, Hasmat Malik, Khadiza Akter   +3 more
wiley   +1 more source

Proactive Fault Detection and Diagnosis Method for VAV Terminals in Air Conditioning System

Zhileng xuebao, 2019
A variable air volume（VAV）system exhibits the feature of limited sensors and similar characteristics of fault conditions. A traditional passive fault detection and diagnosis（FDD）method does not diagnose all faults in VAV systems due to limited ...
Li Peijie, Zhao Yang, Zhang Xuejun, Zhang Chunwei, Fan Yubin   +4 more
doaj   +2 more sources

Advancements in fault detection and diagnosis methods for electric vehicles: a review

Discover Applied Sciences
Electric Vehicles (EVs) are emerging as the preferred mode of transportation owing to various advantages and to reach the Sustainable Development Goals (SDGs).
Masadi Prashanth Kumar, Srikanth Velpula, Chidurala Saiprakash, Buddhadeva Sahoo   +3 more
doaj   +1 more source

Fault Detection and Diagnosis for Multi‐Faults of PMSM‐Drive Systems Using a Hybrid Machine Learning Method

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
To improve the reliability of electric vehicle drivetrains, this work introduces a novel diagnostic system for multiple inverter faults, a common failure point. By applying a hybrid machine learning model to easily accessible low‐frequency phase current signals, the system accurately detects and classifies multiple fault types without requiring ...
Hüseyin Tayyer Canseven, Evin Şahin Sadık, Merve Cömert, Abdurrahman Ünsal   +3 more
wiley   +1 more source

A Review on Multimodal-Based Fault Detection and Diagnosis in Photovoltaic Systems: Fusion and Attention Mechanisms

IEEE Access
The reliability and efficiency of photovoltaic (PV) systems are critical to ensuring the stability and sustainability of modern power grids, particularly with the increasing integration of renewable energy sources.
Ismail Nasri, Majdi Mansouri, Mohamed Trabelsi, Lazhar Khriji, Adam Waldemar Skorek   +4 more
doaj   +1 more source

Hybrid Approach for Detection and Diagnosis of Short-Circuit Faults in Power Transmission Lines

Energies
In this article, the main problem under investigation is the detection and diagnosis of short-circuit faults in power transmission lines. The proposed fault detection (FDD) approach is mainly based on principal component analysis (PCA).
Luís Brito Palma
doaj   +1 more source

Energy saving by Artificial intelligence-based fault detection and diagnosis: 42 chiller case studies

Case Studies in Thermal Engineering
This study proposes an Artificial Intelligence (AI)-based Fault Detection and Diagnosis (FDD) system for chiller fault diagnostics, utilizing a One-Dimensional Convolutional Neural Network (1D-CNN) combined with Transfer Learning to enhance ...
Yen-Tang Chen, Da-Sheng Lee, Jhih-Jie Yang, Wei-Tao Huang, Yen-Po Liu   +4 more
doaj   +1 more source

State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods

IEEE Access
Fault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include the use of advanced monitoring systems and data analysis ...
Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi   +2 more
doaj   +1 more source