4 papers
A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
Yu Sha, Ningtao Liu, Haofeng Liu +10
Cavitation intensity recognition (CIR) is a critical technology for detecting and evaluating cavitation phenomena in hydraulic machinery, with significant implications for operatio…
Machine learning bridging battery field data and laboratory data
Yanbin Zhao, Hao Liu, Zhihua Deng +6
Aiming at the dilemma that most laboratory data-driven diagnostic and prognostic methods cannot be applied to field batteries in passenger cars and energy storage systems, this pap…
Machine learning accelerates fuel cell life testing
Yanbin Zhao, Hao Liu, Zhihua Deng +6
Accelerated life testing (ALT) can significantly reduce the economic, time, and labor costs of life testing in the process of equipment, device, and material research and developme…
Two points are enough
Hao Liu, Yanbin Zhao, Huarong Zheng +7
Prognosis and diagnosis play an important role in accelerating the development of lithium-ion batteries, as well as reliable and long-life operation. In this work, we answer an imp…