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Profil bibliographique

Jiajin Wang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

11Publications signalées
58Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Non-Destructive Testing TechniquesMachine Fault Diagnosis TechniquesAdvanced Battery Technologies ResearchReliability and Maintenance OptimizationDrilling and Well Engineering

Les publications récentes

2025 article OpenAlex

Lifetime Prediction of Electrical Machines Under Nonstationary Loads by Coupled Thermal Model and Insulation Aging Assessment

Jiajin Wang, Jian Zhang, Kangwen Wu, Xiangning He et autres

Electrical machines (EMs) in electromechanical actuators need to be highly reliable, especially when driving safety-critical systems in more electric aircraft. However, the non-stationary loads faced during mission profiles will cause the EM to overheat, raising the risk of insulation failure. Motivated by …

cn (code pays fourni par la source)

1 citation IEEE Transactions on Transportation Electrification
2025 article OpenAlex

Calculation Method for Viscous Loss in Oil-Filled Motors Based on Corrected Friction Coefficient

Jiajin Wang, Yinxin Long, Xiangning He, Kangwen Wu et autres

Oil-filled motors (OFMs) are widely used in deep-sea, aerospace, and other high-reliability applications due to their superior insulation, lubrication, and pressure compensation capabilities. However, the additional viscous loss in the air gap significantly reduces motor efficiency, particularly during high-speed operation. As viscous …

cn (code pays fourni par la source)

0 citations IEEE Transactions on Industry Applications
2024 article OpenAlex

Remaining Useful Life Prediction Method by Integrating Two-Phase Accelerated Degradation Data and Field Information

Jiajin Wang, Jianwei Wu, Jian Zhang, Qin Zhang et autres

The degradation process of high-reliability products commonly has two-phase characteristics. For such products, accurate change point estimation and proper degradation model play crucial roles in remaining useful life (RUL) prediction. However, due to the long-lifetime nature of high-reliability products, lacking sufficient condition …

cn (code pays fourni par la source)

7 citations IEEE Transactions on Instrumentation and Measurement
2024 article OpenAlex

A Two-Phase Lifetime Prediction Model of Generator Stator Main Wall Insulation Driven by Digital Twin

Qin Zhang, Jianwei Wu, Jiajin Wang, Xiaoyan Huang et autres

Currently, most existing remaining useful life (RUL) prediction models for generators’ main wall insulation (MI) focus on the statistical life distributions for a large population of products. The shortcoming of these models is that they cannot incorporate individual degradation information of a …

cn (code pays fourni par la source)

5 citations IEEE Transactions on Instrumentation and Measurement

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