Results 71 to 80 of about 8,094 (226)

MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis

open access: yesInternational Journal of Rotating Machinery, Volume 2026, Issue 1, 2026.
Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete   +3 more
wiley   +1 more source

Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning

open access: yesJixie chuandong, 2022
Aiming at the problem that the vibration signal of planetary gearboxes has strong non-stationary characteristics, few fault samples and the dependence of traditional deep learning on data, an intelligent diagnosis method for planetary gearboxes based on ...
Xinxin Lu, Jun Ma, Yingcong Zhang
doaj  

A model for a flywheel automatic assistedmanual transmission [PDF]

open access: yes, 2009
This paper is focused on the model and dynamical analysis of a flywheel assisted transmis- sion aiming at reducing the torque gap during gear shift manoeuvres. A completely passive device, consisting of a planetary gear set mounting a flywheel on the sun
A. Vigliani   +6 more
core   +1 more source

Explainable Optimized LSTM Model for Sustainable Wind Power Forecasting in Smart Cities

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Accurate wind‐power forecasting is essential for the successful integration of renewable energy into smart city grids. Traditional long short‐term memory (LSTM) networks face significant challenges in parameter optimization, leading to suboptimal forecasting performance.
Abdulaziz Shehab   +4 more
wiley   +1 more source

A Hybrid Model Reference Adaptive and Regressive‐Form Sliding Mode Control in Discrete Domain: Robustness Under System Uncertainty

open access: yesEngineering Reports, Volume 7, Issue 12, December 2025.
A novel MRASMC framework is developed, with a sliding surface derived from a regressive structure and parameters adaptively updated. An adaptive trigger condition enhances disturbance rejection without requiring complex observers or full system models.
Nhut Thang Le   +4 more
wiley   +1 more source

Stability Analysis Using Predictor‐Corrector Continuation to Develop Ince‐Strutt Diagrams for a Nonlinear Parametric Oscillator

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 25, Issue 4, December 2025.
ABSTRACT Time‐varying properties of mechanical systems can lead to parametrically excited oscillations. An example is the time‐varying stiffness of gear teeth meshing in the analysis of gearbox dynamics. A mechanical model can be used to represent the rotational motion of the gear pair.
Mirco Jonkeren   +2 more
wiley   +1 more source

Advanced gearbox technology [PDF]

open access: yes
An advanced 13,000 HP, counterrotating (CR) gearbox was designed and successfully tested to provide a technology base for future designs of geared propfan propulsion systems for both commercial and military aircraft.
Anderson, N. E.   +3 more
core   +1 more source

Design, control and evaluation of a low-cost active orthosis for the gait of spinal cord injured subjects [PDF]

open access: yes, 2016
Robotic gait training after spinal cord injury is of high priority to maximize independence and improve the living conditions of the patients. Current rehabilitation robots are expensive and heavy, and are generally found only in the clinical environment.
Alonso Sánchez, Francisco Javier   +6 more
core  

Fault Analysis and Structural Improvement Design of Planetary Gear in Wind Turbine Gearbox

open access: yesJixie chuandong, 2019
Focusing on planetary gear fault of traditional NGW type wind turbine gearbox, the fault analysis in the process of using is carried out, finding out why the planetary gear is damaged and an improved design of transmission structure for wind turbine ...
Yonghong Li
doaj  

Early Fault Diagnosis for Planetary Gearbox Based on Adaptive Parameter Optimized VMD and Singular Kurtosis Difference Spectrum

open access: yesIEEE Access, 2019
Variational mode decomposition (VMD) is widely used in the condition monitoring and fault diagnosis of rotary machinery for its unique advantages. An adaptive parameter optimized VMD (APOVMD) is proposed in order to adaptively determine the suitable ...
Chaoge Wang   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy