Diyin Tang
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View article: Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound
Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound Open
In the realm of modern wind turbine engineering, where precision is paramount for stability, control, and observability, this article introduces a groundbreaking method leveraging time-weighted Gramians. The focal point of this work is the…
View article: Partial-Jacobi-heuristic Evolutionary Algorithm using Priority-based Encoding for Aircraft Final Assembly Scheduling
Partial-Jacobi-heuristic Evolutionary Algorithm using Priority-based Encoding for Aircraft Final Assembly Scheduling Open
View article: Partial-Jacobi-heuristic Evolutionary Algorithm using Priority-based Encoding for Aircraft Final Assembly Scheduling
Partial-Jacobi-heuristic Evolutionary Algorithm using Priority-based Encoding for Aircraft Final Assembly Scheduling Open
View article: Strategies for improving the performance of practical Li‐CO<sub>2</sub> battery
Strategies for improving the performance of practical Li‐CO<sub>2</sub> battery Open
The Li‐CO 2 battery represented an enticing energy storage/output system characterized by its high‐specific energy capacity and simultaneously achieving CO 2 fixation and conversion, which held significant promise in mitigating global warm…
View article: An ensemble surrogate-assisted adaptive reference point guided evolutionary algorithm for expensive many-objective irregular problem
An ensemble surrogate-assisted adaptive reference point guided evolutionary algorithm for expensive many-objective irregular problem Open
Surrogate-assisted evolutionary algorithms (SAEAs) are one effective method for solving expensive optimization problems. However, there has been little attention to expensive many-objective irregular problems. To address this issue, we pro…
View article: A distributed autonomic logistics system with parallel-computing diagnostic algorithm for aircrafts
A distributed autonomic logistics system with parallel-computing diagnostic algorithm for aircrafts Open
The autonomic logistic system (ALS), first used by the U.S. military JSF, is a new conceptional system which supports prognostic and health management system of aircrafts, including such as real-time failure monitoring, remaining useful li…
View article: Early prediction of remaining discharge time for lithium-ion batteries considering parameter correlation between discharge stages
Early prediction of remaining discharge time for lithium-ion batteries considering parameter correlation between discharge stages Open
In this paper, we propose a method for making early predictions of remaining discharge time (RDT) that considers information about future battery discharge process. Instead of analyzing the entire degradation process of a battery, as in th…
View article: An Optimal Burn-In Policy for Cellular Phone Lithium-Ion Batteries Using a Feature Selection Strategy and Relevance Vector Machine
An Optimal Burn-In Policy for Cellular Phone Lithium-Ion Batteries Using a Feature Selection Strategy and Relevance Vector Machine Open
The early detection of defective lithium-ion batteries in cellular phones is critical due to the rapid increase in popularity and mass production of cellular phones. It is essential for manufacturers to design an optimal burn-in policy to …
View article: Remaining useful life prediction for engineering systems under dynamic operational conditions: A semi-Markov decision process-based approach
Remaining useful life prediction for engineering systems under dynamic operational conditions: A semi-Markov decision process-based approach Open
For critical engineering systems such as aircraft and aerospace vehicles, accurate Remaining Useful Life (RUL) prediction not only means cost saving, but more importantly, is of great significance in ensuring system reliability and prevent…
View article: Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use
Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use Open
Lithium-ion batteries are widely used in many systems. Because they provide a power source to the whole system, their state-of-health (SOH) is very important for a system’s proper operation. A direct way to estimate the SOH is through the …
View article: Remaining useful life prediction for lithium-ion batteries using a quantum particle swarm optimization-based particle filter
Remaining useful life prediction for lithium-ion batteries using a quantum particle swarm optimization-based particle filter Open
A novel RUL prediction approach for lithium-ion batteries using quantum particle swarm optimization (QPSO)-based particle filter (PF) is proposed. Compared to particle swarm optimization (PSO)-based PF, QPSO-based PF is proved to have a be…
View article: Remaining useful life estimation for deteriorating systems with time-varying operational conditions and condition-specific failure zones
Remaining useful life estimation for deteriorating systems with time-varying operational conditions and condition-specific failure zones Open
Dynamic time-varying operational conditions pose great challenge to the estimation of system remaining useful life (RUL) for the deteriorating systems. This paper presents a method based on probabilistic and stochastic approaches to estima…
View article: Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures
Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures Open
Optimal replacement pOlicy fOr a periOdically inspected system subject tO the cOmpeting sOft and sudden failures Optymalna pOlityka wymiany dO zastOsOwania w systemach pOddawanych przeglądOm OkresOwymnarażOnych na kOnkurujące uszkOdzenia