Higher‐order correlation–based multivariate statistical process monitoring
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3033
Abstract: As shallow architecture is inefficient in terms of computational elements, some incipient fault features can be characterized through the composition of many nonlinearities, ie, with deep network. In this paper, a novel approach is developed… read more here.
Keywords: statistical process; higher order; process; monitoring ... See more keywords
Multimode complex process monitoring using double‐level local information based local outlier factor method
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3048
Abstract: Industrial processes typically have multiple operating modes with complex data distribution and locality faults, which challenges the traditional multivariate statistical process monitoring methods. To address this problem, a double‐level local information‐based local outlier factor (LOF)… read more here.
Keywords: information; local information; double level; process ... See more keywords
Spatial–Temporal Deviation Analysis for Multivariate Statistical Process Monitoring
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3611
Abstract: Given that an effective process monitoring implementation should take both the spatial and temporal variations into account, a novel online process monitoring scheme based on a newly formulated algorithm titled as spatial–temporal deviation analysis (STDA)… read more here.
Keywords: process monitoring; spatial temporal; temporal deviation; deviation analysis ... See more keywords
Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring
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DOI: 10.1002/cem.70004
Abstract: Multivariate statistical process monitoring is commonly used to detect abnormal process behavior in real time. Multiple process variables are monitored simultaneously, and alarms are issued when monitoring statistics exceed a predetermined threshold. Traditional approaches use… read more here.
Keywords: process; multivariate statistical; statistical process; estimation ... See more keywords
Performance-driven ensemble ICA chemical process monitoring based on fault-relevant models
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DOI: 10.1007/s00500-020-04673-6
Abstract: Independent component analysis has been widely used in non-Gaussian chemical process monitoring. However, using the normal operation data or adopting a certain independent component selection criteria alone to construct the monitoring model cannot achieve satisfactory… read more here.
Keywords: fault; process monitoring; process; monitoring ... See more keywords
How do I update my model? On the resilience of Predictive Process Monitoring models to change
Sign Up to like & getrecommendations! Published in 2022 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-022-01666-9
Abstract: Existing well-investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions and then use this model to predict the future of new ongoing cases, without the possibility of updating it… read more here.
Keywords: process; process monitoring; predictive process; update model ... See more keywords
Simulation-based validation of process monitoring tasks in assembly
Sign Up to like & getrecommendations! Published in 2024 at "Production Engineering"
DOI: 10.1007/s11740-024-01269-z
Abstract: The importance of process monitoring has increased significantly in today’s manufacturing landscape due to several factors. These factors include stricter quality standards, the presence of complex and diverse processes for customized products, and a focus… read more here.
Keywords: process; validation; simulation based; process monitoring ... See more keywords
Implementation of an intelligent process monitoring system for screw presses using the CRISP-DM standard
Sign Up to like & getrecommendations! Published in 2024 at "Production Engineering"
DOI: 10.1007/s11740-024-01298-8
Abstract: Increasing the service life and process reliability of systems plays an important role in terms of sustainable and economical production. Especially in the field of energy-intensive bulk forming, low scrap rates and long tool lifetimes… read more here.
Keywords: process; method; using crisp; crisp standard ... See more keywords
On business process monitoring using cross-flow coordination
Sign Up to like & getrecommendations! Published in 2017 at "Service Oriented Computing and Applications"
DOI: 10.1007/s11761-017-0206-0
Abstract: This paper presents an approach for monitoring the execution progress of business processes. The monitoring focuses on the exceptions that could arise during this execution and, hence, could make the processes fail if not handled… read more here.
Keywords: coordination; business process; business; process monitoring ... See more keywords
Optical process monitoring in Laser Powder Bed Fusion using a recoater-based line camera
Sign Up to like & getrecommendations! Published in 2021 at "Additive manufacturing"
DOI: 10.1016/j.addma.2021.102218
Abstract: Abstract The multitude of influences on the Laser Powder Bed Fusion (LPBF) process and local deviations from the intended process conditions can lead to the occurrence of quality deviations. The cyclic nature of the process… read more here.
Keywords: process monitoring; process; recoater; laser powder ... See more keywords
AIEgens for biological process monitoring and disease theranostics.
Sign Up to like & getrecommendations! Published in 2017 at "Biomaterials"
DOI: 10.1016/j.biomaterials.2017.09.004
Abstract: Biological processes are of great significance for the normal physiological functions of living organisms and closely related to the health. Monitoring of biological processes and diagnosis of diseases based on fluorescent techniques would provide comprehensive… read more here.
Keywords: disease theranostics; monitoring disease; biological process; disease ... See more keywords