468 citations · 522 across the 7 of their papers we have counts for
7 papers
A Reinforcement Learning Hyper-Heuristic in Multi-Objective Single Point Search with Application to Structural Fault Identification
Pei Cao, Jiong Tang
Multi-objective optimizations are frequently encountered in engineering practices. The solution techniques and parametric selections however are usually problem-specific. In this s…
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification
Pei Cao, Qi Shuai, Jiong Tang
Using piezoelectric impedance/admittance sensing for structural health monitoring is promising, owing to the simplicity in circuitry design as well as the high-frequency interrogat…
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
Pei Cao, Shengli Zhang, Jiong Tang
Early fault diagnosis in complex mechanical systems such as gearbox has always been a great challenge, even with the recent development in deep neural networks. The performance of…
A Multi-Objective DIRECT Algorithm Towards Structural Damage Identification with Limited Dynamic Response Information
Pei Cao, Qi Shuai, Jiong Tang
A major challenge in Structural Health Monitoring (SHM) is to accurately identify both the location and severity of damage using the dynamic response information acquired. While in…
Structural Damage Identification Using Piezoelectric Impedance Measurement with Sparse Inverse Analysis
Pei Cao, Qi Shuai, Jiong Tang
The impedance/admittance measurements of a piezoelectric transducer bonded to or embedded in a host structure can be used as damage indicator. When a credible model of the healthy…
A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs
Pei Cao, Zhaoyan Fan, Robert X. Gao +1
In this research, we investigate the subject of path-finding. A pruned version of visibility graph based on Candidate Vertices is formulated, followed by a new visibility check tec…
Solving Configuration Optimization Problem with Multiple Hard Constraints: An Enhanced Multi-Objective Simulated Annealing Approach
Pei Cao, Zhaoyan Fan, Robert X. Gao +1
This research concerns a type of configuration optimization problems frequently encountered in engineering design and manufacturing, where the envelope volume in space occupied by…