Matches in SemOpenAlex for { <https://semopenalex.org/work/W2519546655> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2519546655 abstract "Statistical Process Control (SPC) is the general field concerned with monitoring the operation and performance of systems. SPC consists of a collection of techniques for characterizing the operation of a system using a probability distribution consistent with the system's inputs and outputs. Classical SPC monitors a single variable to characterize the operation of a single machine tool or process step using tools such as Shewart charts. The traditional approach works well for simple small to medium size processes. For more complex processes a number of multivariate SPC techniques have been developed in recent decades. These advanced methods suffer from several disadvantages compared to univariate techniques: they tend to be statistically less powerful, and they tend to complicate process diagnosis when a disturbance is detected. This research introduces a general method for simplifying multivariate process monitoring in such a manner as to allow the use of traditional SPC tools while facilitating process diagnosis. Latent variable representations of complex processes are developed which directly relate disturbances with process steps or segments. The method models disturbances in the process rather than the process itself. The basic tool used is Independent Component Analysis (ICA). The methodology is illustrated on the problem of monitoring Electrical Test (E-Test) data from a semiconductor manufacturing process. Development and production data from a working semiconductor plant are used to estimate a factor model that is then used to develop univariate control charts for particular types of process disturbances. Detection and false alarm rates for data with known disturbances are given. The charts correctly detect and classify all the disturbance cases with a very low false alarm rate. A secondary contribution is the introduction of a method for performing an ICA like analysis using possibilistic data instead of probabilistic data. This technique extends the general ICA framework to apply to a broader range of uncertainty types. Further development of this technique could lead to the capability to use extremely sparse data to estimate ICA process models." @default.
- W2519546655 created "2016-09-23" @default.
- W2519546655 creator A5044905313 @default.
- W2519546655 date "2022-11-19" @default.
- W2519546655 modified "2023-09-25" @default.
- W2519546655 title "Improving Monitoring and Diagnosis for Process Control using Independent Component Analysis" @default.
- W2519546655 doi "https://doi.org/10.15760/etd.7996" @default.
- W2519546655 hasPublicationYear "2022" @default.
- W2519546655 type Work @default.
- W2519546655 sameAs 2519546655 @default.
- W2519546655 citedByCount "0" @default.
- W2519546655 crossrefType "dissertation" @default.
- W2519546655 hasAuthorship W2519546655A5044905313 @default.
- W2519546655 hasBestOaLocation W25195466551 @default.
- W2519546655 hasConcept C111919701 @default.
- W2519546655 hasConcept C113644684 @default.
- W2519546655 hasConcept C119857082 @default.
- W2519546655 hasConcept C121332964 @default.
- W2519546655 hasConcept C124101348 @default.
- W2519546655 hasConcept C127413603 @default.
- W2519546655 hasConcept C155386361 @default.
- W2519546655 hasConcept C159848633 @default.
- W2519546655 hasConcept C161584116 @default.
- W2519546655 hasConcept C168167062 @default.
- W2519546655 hasConcept C174998907 @default.
- W2519546655 hasConcept C196985124 @default.
- W2519546655 hasConcept C199163554 @default.
- W2519546655 hasConcept C200601418 @default.
- W2519546655 hasConcept C21547014 @default.
- W2519546655 hasConcept C41008148 @default.
- W2519546655 hasConcept C51432778 @default.
- W2519546655 hasConcept C74746147 @default.
- W2519546655 hasConcept C91439571 @default.
- W2519546655 hasConcept C97355855 @default.
- W2519546655 hasConcept C98045186 @default.
- W2519546655 hasConceptScore W2519546655C111919701 @default.
- W2519546655 hasConceptScore W2519546655C113644684 @default.
- W2519546655 hasConceptScore W2519546655C119857082 @default.
- W2519546655 hasConceptScore W2519546655C121332964 @default.
- W2519546655 hasConceptScore W2519546655C124101348 @default.
- W2519546655 hasConceptScore W2519546655C127413603 @default.
- W2519546655 hasConceptScore W2519546655C155386361 @default.
- W2519546655 hasConceptScore W2519546655C159848633 @default.
- W2519546655 hasConceptScore W2519546655C161584116 @default.
- W2519546655 hasConceptScore W2519546655C168167062 @default.
- W2519546655 hasConceptScore W2519546655C174998907 @default.
- W2519546655 hasConceptScore W2519546655C196985124 @default.
- W2519546655 hasConceptScore W2519546655C199163554 @default.
- W2519546655 hasConceptScore W2519546655C200601418 @default.
- W2519546655 hasConceptScore W2519546655C21547014 @default.
- W2519546655 hasConceptScore W2519546655C41008148 @default.
- W2519546655 hasConceptScore W2519546655C51432778 @default.
- W2519546655 hasConceptScore W2519546655C74746147 @default.
- W2519546655 hasConceptScore W2519546655C91439571 @default.
- W2519546655 hasConceptScore W2519546655C97355855 @default.
- W2519546655 hasConceptScore W2519546655C98045186 @default.
- W2519546655 hasLocation W25195466551 @default.
- W2519546655 hasOpenAccess W2519546655 @default.
- W2519546655 hasPrimaryLocation W25195466551 @default.
- W2519546655 hasRelatedWork W1556901896 @default.
- W2519546655 hasRelatedWork W2025457146 @default.
- W2519546655 hasRelatedWork W2065343449 @default.
- W2519546655 hasRelatedWork W2090017066 @default.
- W2519546655 hasRelatedWork W2156894388 @default.
- W2519546655 hasRelatedWork W2404951966 @default.
- W2519546655 hasRelatedWork W2519546655 @default.
- W2519546655 hasRelatedWork W2624974758 @default.
- W2519546655 hasRelatedWork W2899929220 @default.
- W2519546655 hasRelatedWork W867233527 @default.
- W2519546655 isParatext "false" @default.
- W2519546655 isRetracted "false" @default.
- W2519546655 magId "2519546655" @default.
- W2519546655 workType "dissertation" @default.