{"id":"doi:10.1109/tii.2024.3393002","kind":"article","title":"An Interpretable Latent Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Limited Data","authors":["Tian Zhang","Jing Lin","Jinyang Jiao","Han Zhang","Hao Li"],"author_count":5,"year":2024,"published":"2024-05-10","venue":"IEEE Transactions on Industrial Informatics","cited_by":76,"doi":"10.1109/tii.2024.3393002","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1109/tii.2024.3393002","archive_url":"https://space-kitty.com/papers/doi:10.1109/tii.2024.3393002","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4396817507","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Machine Fault Diagnosis Techniques"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"generative-multimodal","name":"Generative & Multimodal Models","domain_slug":"ai"}],"cited_in_dossiers":[]}