A novel abnormal data detection method based on dynamic adaptive local outlier factor for the vibration signals of rotating parts
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/accbda
Abstract: Abnormal signals are inevitable in big data acquired from harsh industrial environments. Abnormal data detection is a crucial component of condition monitoring for rotating parts and is also the premise of data cleaning, compensation, and… read more here.
Keywords: abnormal data; rotating parts; method based; data detection ... See more keywords
Use of ICA to Separate Micro-Doppler Signatures in ISAR Images of Aircraft That Has Fast-Rotating Parts
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3098110
Abstract: In this article, we propose a new signal-decomposition algorithm composed of three steps: principal components analysis to yield high-resolution range profiles with improved signal-to-noise ratio; estimation of whitening and mixing matrices using independent component analysis… read more here.
Keywords: micro doppler; isar images; fast rotating; aircraft fast ... See more keywords