Results 61 to 70 of about 918,661 (207)

Diagnosis of Combination Faults in a Planetary Gearbox using a Modulation Signal Bispectrum based Sideband Estimator [PDF]

, 2015
This paper presents a novel method for diagnosing combination faults in planetary gearboxes. Vibration signals measured on the gearbox housing exhibit complicated characteristics because of multiple modulations of concurrent excitation sources, signal ...
Gu, Fengshou, Fengshou Gu, Tie Wang, Ball, Andrew D., Rehab, Ibrahim, Ball, Andrew, Gaballa M. Abdallaa, Abdallaa, Gaballa M., Andrew D. Ball, Xiange Tian, Wang, Tie, Tian, Xiange, Ibrahim Rehab   +12 more
core   +3 more sources

风力发电机齿轮箱体有限元分析

Jixie chuandong, 2009
Wind turbine gearbox is a large complex parts of wind turbine,the normal work of gears in gearbox can be affected by the intensity of gearbox directly.For the first domestic 2.5MW wind turbine,its three-dimensional model is finished.On the basis of ...
陈毅, 侯力, 马朝玲, 蒋苏民
doaj  

Digital Twins for Offshore Wind Operation and Maintenance: A Review

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu, Ravi Pandit, Yifan Zhao, Bernadin Namoano, Jiarong Hong   +4 more
wiley   +1 more source

Investigation of wind turbine flow and wake [PDF]

, 2014
This paper is dedicated to the investigation and analysis of wind turbine wake. An experimental work is undertaken in wind tunnel on a horizontal axis wind turbine model.
MASSOUH, Fawaz, DOBREV, Ivan
core  

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, Volume 21, Issue 5, September/October 2026.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

A Review of Fault‐Tolerant Control Applications in Process Equipment: Boilers, Heat Exchangers, Pumps, Turbines, and Engines for Greater Reliability

Engineering Reports, Volume 8, Issue 9, September 2026.
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin, Arslan Aslam, Ansa Mubarak, Saba Waseem, Umair Shahzad   +4 more
wiley   +1 more source

Condition Monitoring Techniques for Wind Turbines [PDF]

, 2011
This thesis focuses on practical condition monitoring of wind turbines. With offshore wind playing an increasing part in UK electricity generation, prompt fault detection leading to preventative maintenance is gaining in importance.
CRABTREE, CHRISTOPHER,JAMES, Crabtree, C.J., Crabtree, Christopher James   +2 more
core  

The detection of lubricating oil viscosity changes in gearbox transmission systems driven by sensorless variable speed drives using electrical supply parameters [PDF]

, 2015
Lubrication oil plays a decisive role to maintain a reliable and efficient operation of gear transmissions. Many offline methods have been developed to monitor the quality of lubricating oils.
Gu, Fengshou, Brethee, Khaldoon F., Ball, Andrew, Abusaad, S, Zhang, Ruiliang, Assaeh, M., Zhang, R., Brethee, K, Gu, F, Abusaad, Samieh, Ball, A D, Assaeh, M   +11 more
core   +1 more source

A Comparative Hybrid Deep Learning Approach for Robust Stator–Rotor Fault Identification in DFIGs Using FFT‐Based Features and CNN–LSTM–Transformer Models Under Nonstationary Wind Turbulence

Engineering Reports, Volume 8, Issue 9, September 2026.
A hybrid CNN–LSTM–Transformer framework with FFT‐based feature extraction enables accurate detection and severity estimation of stator and rotor faults in DFIGs under turbulent conditions, achieving over 94% accuracy for early‐stage fault diagnosis. Fault Diagnosis and Severity Estimation in Wind Turbines.
Mehdi Mohammadian Mehr, Mohsen Saniei, Mahmood Joorabian, Hossein Farzin   +3 more
wiley   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, Volume 6, Issue 3, Page 445-459, September 2026.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source