Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Leveraging Advanced Process Control (APC) technology in developing Predictive Maintenance (PdM) systems

Authors: J. Moyne; N. Ward; P. Hawkins;

Leveraging Advanced Process Control (APC) technology in developing Predictive Maintenance (PdM) systems

Abstract

Predictive Maintenance (PdM) systems use process and equipment state information to predict when a tool or a particular component in a tool might need maintenance. PdM systems can be realized cost-effectively by leveraging Advanced Process Control (APC) technologies and infrastructure. APC data collection infrastructure can provide the state information necessary for prediction. APC fault detection systems contain necessary algorithms to identify features important to prediction, including tool health. In leveraging APC systems in a reusable and reconfigurable way, cost-effective PdM systems can be realized as part of existing fab infrastructure, leading to lower unscheduled downtimes, reduced mean-time-to-repair, reduced scrap, and increased life of components and consumables.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!