Zhaojun Li

Associate Professor

Western New England University

United States

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About

Zhaojun Li is an Associate Professor at Western New England University, USA. His research interests include fault diagnosis, reliability engineering, and cyber-physical power systems. Recent publications focus on advanced methodologies in fault diagnosis, resilience metrics, and inventory optimization for renewable energy systems. Through his work, he aims to enhance the reliability and efficiency of complex engineering systems.

Articles (18)

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2025

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2021

Collaborators (1)

Robin Qiu

Pennsylvania State University

UNITED STATES

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Zhaojun Li

Research Interests

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About

Articles (18)

An In-Depth Tutorial on BJTU-RAO Bogie Datasets for Fault Diagnosis

Frequency-Corrected Synchrosqueezing Reassigning Transform for Fault Diagnosis

Dependable Computing

A Review of Resilience Metrics and Modeling Methods for Cyber-Physical Power Systems (CPPS)

Editorial Celebrating Over 70 Years of Excellence in Reliability Engineering

A Hierarchical Ensemble Learning Approach for Cable Network Impairment Diagnosis

Dynamic Analysis of an Economic and Financial Supply Chain System Using the Supervised Neural Networks

Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis

Multi-Area Load Frequency Control in Power System Integrated With Wind Farms Using Fuzzy Generalized Predictive Control Method

Reliability-Driven Multiechelon Inventory Optimization With Applications to Service Spare Parts for Wind Turbines

Predicting Bike Usage and Optimizing Operations at Repair Shops in Bike Sharing Systems

Guest Editorial: Special Section on AI Enhanced Reliability Assessment and Predictive Health Management

An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems

Risk-informed reliability improvement optimization for verification and validation planning based on set covering modeling

A Dynamic Bayesian Network Control Strategy for Modeling Grid-Connected Inverter Stability

A Stochastic Modeling Approach for Cascading Failures in Cyberphysical Power Systems

Resilience-Based Optimal Recovery Strategy for Cyber–Physical Power Systems Considering Component Multistate Failures

Design for Reliability Through Text Mining and Optimal Product Verification and Validation Planning

Collaborators (1)

Robin Qiu

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