Rolling element bearing is a vital component in rotating machinery, such as wind turbine (WT) system. By accurately monitoring its health condition, the faults can be detected at an early stage, providing sufficient lead time to perform maintenance and hence reducing accidents economic losses. Bearing usually suffers from various wears tears, which result gradual increase clearance through lifetime. Insufficient understanding of vibration characteristics under different clearances brings...

Localized defects are common in gear transmission systems and can sometimes cause serious production problems or even catastrophic accidents. To reveal the failure mechanisms study localized systems, a 24-degree-of-freedom (DOF) dynamic coupling model is proposed considering shafts, bearings, gears. The characteristics of established when appear on raceways bearings surfaces gears analyzed. It be found results that response produces periodic shocks through numerical analysis. Sidebands...

Bearings are key components in rotating machinery, which is widely used many fields, such as CNC machines, wind turbines and induction machines. The increasingly harsh operation environment can lead to wear tear on raceways reduce the precision reliability of bearing or even machinery. Lubrication could relieve some degree, benefit prolong bearing’s life. Thus, investigation vibration responses under influence oil film great significance. However, for mechanism analysis, how include into...

Accurate diagnosis of incipient faults in wind turbine (WT) assets will provide sufficient lead time to apply an optimal maintenance for the expensive WT which often are located a remote and harsh environment their usually needs heavy equipment highly skilled engineers. This paper presents online bearing clearance monitoring approach diagnose change clearance, providing early interpretable indication health conditions. A novel dynamic load distribution method is developed efficiently gain...

Gearbox is a key component in mechanical transmission and faults on gears will lead to breakdowns unscheduled downtime. Health condition monitoring remaining useful life (RUL) prediction can provide sufficient leading time for gearbox timely maintenance. To some degree, the RUL accuracy relies performance of diagnostic features reflecting degradation during its lifetime. However, most current commonly used fail reveal fault mechanism hidden behind vibration signal hold poor capability noise...

As the issue of energy scarcity becomes increasingly critical, adoption electric construction machinery emerges as a pivotal strategy to address crisis. During travel and operation machinery, machinery-specific battery packs are subjected long-term mechanical shocks random vibration loads, leading resonance structural damage failure. To multi-objective optimization design issues for under action impact loads enhance fatigue life reduce mass pack, this paper conducts research on newly...

Hydrogen fuel cell city bus is a type of new energy public transportation. In this paper, in order to evaluate the safety performance newly developed hydrogen body frame designed by collaborating enterprise, finite element analysis conducted investigate its structural mechanics and dynamic characteristics under four typical operating conditions, including horizontal bending, ultimate torsion, emergency cornering, braking. Based on simulation results, although meets stiffness design...

With the development of Industry 4.0 and requirement smart factory, cellular manufacturing system (CMS) has been widely concerned in recent years, which may leads to reducing production cost wip inventory due its flexibility with groups. Intercellular transportation consumption, sequence-dependent setup times, batch issue CMS are taken into consideration simultaneously this paper. Afterwards, a multi-objective flexible job-shop cell scheduling problem (FJSCP) optimization model is...

Gearbox is a key part in machinery, which gear, shaft and bearing operate together to transmit motion power. The wide usage high failure rate of gearbox make it attract much attention on its health monitoring fault diagnosis. Dynamic modeling can study the mechanism under different faults provide theoretical foundation for detection. However, current commonly used gear dynamic model usually neglects influence shaft, resulting incomplete understanding diagnosis especially effect local defects...

Designing a novel and efficient architecture is the thrust of medical image segmentation. In this paper, we introduce network named Multi-scale Feedback Feature Refinement U-Net (MFFRU-Net) for We design simple effective multi-scale feedback structure. Up-sampling 1 × convolution are used to feature maps different scales in decoder encoder, so that multiple high-level low-level features fused obtain more representative features. Specifically, propose refinement module (FRM) based on dual...

Due to its powerful capability on extracting high dimensional nonlinear features, deep learning has proven be an effective tool for gearbox fault diagnosis. It can recognize various faults through training sufficient samples. However, the available samples in practice are class imbalanced, such as imbalanced data under different working condition, which affects update of weights and leads low identification accuracy. To address this problem, paper proposes a network named decision...

The economic costs together with filter efficiency are taken as targets to optimize the parameter of passive filter. Furthermore, method combining pseudo-parallel genetic algorithm adaptive is adopted in this paper. In early stages introduced increase population diversity, and used late reduce workload. At same time, migration rate improved change diversity adaptively. Simulation results show that designed by proposed has better filtering effect lower cost, can be engineering.

Abstract As an important part in the active magnetic bearing, its performance has great impact on bearing system. Most of systems use current-mode switching power amplifiers. The full-bridge converter is main topological structure amplifier for bearings. It mainly supplies current to coil so it can offer enough fore rotor. abundant nonlinear phenomena as conversion device lies region. This paper chooses proportionally controlled three-level bearings under mode pulse width modulation (PWM)...

The power coupling equation and energy consumption model for enhancing the fuel economy performance of plug-in hybrid electric trucks (PHETs) are proposed based on economic velocity planning strategy (EVPS-DSIDP), which takes into account driving style an improved dynamic programming (IDP) algorithm. This employs a fuzzy controller to identify style, optimizes efficiency accuracy conventional (DP) algorithm by associating decision variables, dynamically adjusting discretization step size,...

The SF6 gas leakage of GIS equipment is an important factor affecting the normal safe and stable operation equipment, so analysis project training work for improving professional technical skills in maintenance integration, way to comprehensively improve substation personnel, a key step achieve inspection integration. However, how correctly reflect rationality scoring setting assessment items importance are thorny issues that each unit must face training. Based on skill results 600 students...