12 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
AKMD : An Adaptive Framework for Online Sensing and Anomaly Quantification
Hao Yan, Kamran Paynabar, Jianjun Shi
In point-based sensing systems such as coordinate measuring machines (CMM) and laser ultrasonics where complete sensing is impractical due to the high sensing time and cost, adapti…
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar
The high-dimensionality and volume of large scale multistream data has inhibited significant research progress in developing an integrated monitoring and diagnostics (M&D) approach…
Dataset: Rare Event Classification in Multivariate Time Series
Chitta Ranjan, Mahendranath Reddy, Markku Mustonen +2
A real-world dataset is provided from a pulp-and-paper manufacturing industry. The dataset comes from a multivariate time series process. The data contains a rare event of paper br…