From the 1 of 4 linked papers with an AI index.
4 papers
Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems
Haiteng Wang, Yunfei Zhu, Tao Wang +4
Industrial time-series signals, such as turbine temperature and rotational speed in aero-engines, are essential for monitoring the health and operational status of complex dynamica…
VLT: A Vision-Language-Time Series Multimodal Foundation Model for Industrial Intelligence
Haiteng Wang, Jingheng Yan, Xiaokang Wang +1
The paper introduces VLT, a multimodal foundation model that jointly processes industrial time‑series data, their frequency‑spectrum visualizations, and textual information to impr…
TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis
Haiteng Wang, Yikang Li, Yunfei Zhu +3
Accurate analysis of industrial time-series big data is critical for the Prognostics and Health Management (PHM) of industrial equipment. While recent advancements in Large Languag…
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren, Haiteng Wang, Jinwang Li +2
With the remarkable success of generative models like ChatGPT, Artificial Intelligence Generated Content (AIGC) is undergoing explosive development. Not limited to text and images,…