Results 251 to 260 of about 4,205,927 (281)
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2013
Unlike steady-state process variables that do not change meaningfully over time, continuous dynamic systems exhibit stable dynamic behaviour or (quasi)periodic behaviour within a bounded region in the variable space. As a consequence, steady-state process monitoring methods may not be able to account for such behaviour and may therefore be unsuitable ...
Chris Aldrich, Lidia Auret
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Unlike steady-state process variables that do not change meaningfully over time, continuous dynamic systems exhibit stable dynamic behaviour or (quasi)periodic behaviour within a bounded region in the variable space. As a consequence, steady-state process monitoring methods may not be able to account for such behaviour and may therefore be unsuitable ...
Chris Aldrich, Lidia Auret
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1996
Two approaches to monitoring the progress of batch processes are considered. The first approach based on nonlinear state estimation is reviewed and the problems in implementing it are discussed. A second approach based on multi-way principal components analysis can be developed directly from historical operating data.
John F. MacGregor, Paul Nomikos
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Two approaches to monitoring the progress of batch processes are considered. The first approach based on nonlinear state estimation is reviewed and the problems in implementing it are discussed. A second approach based on multi-way principal components analysis can be developed directly from historical operating data.
John F. MacGregor, Paul Nomikos
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2014
In the modern manufacturing industry, monitoring the machining process and tool condition is becoming increasingly important in order to achieve better product quality, higher productivity, higher process automation, and lower human labor costs. This chapter introduces the fundamental technologies and state-of-the-art development for machining process ...
Li, H, Chen, Y
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In the modern manufacturing industry, monitoring the machining process and tool condition is becoming increasingly important in order to achieve better product quality, higher productivity, higher process automation, and lower human labor costs. This chapter introduces the fundamental technologies and state-of-the-art development for machining process ...
Li, H, Chen, Y
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1979
Publisher Summary The chapter discusses the identification, consequences, and processes of self-monitoring. Empirical research on self-monitoring processes began with the construction and validation of the Self-Monitoring Scale, an instrument designed to translate the self-monitoring construct in an instrument that reliably and validly identifies it.
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Publisher Summary The chapter discusses the identification, consequences, and processes of self-monitoring. Empirical research on self-monitoring processes began with the construction and validation of the Self-Monitoring Scale, an instrument designed to translate the self-monitoring construct in an instrument that reliably and validly identifies it.
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Probabilistic Process Monitoring
2012To monitor industrial processes through a probabilistic manner, the probabilistic principal component analysis (PPCA) method has recently been introduced. However, PPCA has its inherent limitation that it cannot determine the effective dimensionality of latent variables.
Zhiqiang Ge, Zhihuan Song
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