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Title: Filter replacement lifetime prediction

Abstract

Methods and systems for predicting a filter lifetime include building a filter effectiveness history based on contaminant sensor information associated with a filter; determining a rate of filter consumption with a processor based on the filter effectiveness history; and determining a remaining filter lifetime based on the determined rate of filter consumption. Methods and systems for increasing filter economy include measuring contaminants in an internal and an external environment; determining a cost of a corrosion rate increase if unfiltered external air intake is increased for cooling; determining a cost of increased air pressure to filter external air; and if the cost of filtering external air exceeds the cost of the corrosion rate increase, increasing an intake of unfiltered external air.

Inventors:
; ; ;
Publication Date:
Research Org.:
International Business Machines Corporation, Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1404932
Patent Number(s):
9,797,812
Application Number:
13/847,255
Assignee:
International Business Machines Corporation DOEEE
DOE Contract Number:
EE0002897
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Mar 19
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION

Citation Formats

Hamann, Hendrik F., Klein, Levente I., Manzer, Dennis G., and Marianno, Fernando J. Filter replacement lifetime prediction. United States: N. p., 2017. Web.
Hamann, Hendrik F., Klein, Levente I., Manzer, Dennis G., & Marianno, Fernando J. Filter replacement lifetime prediction. United States.
Hamann, Hendrik F., Klein, Levente I., Manzer, Dennis G., and Marianno, Fernando J. Wed . "Filter replacement lifetime prediction". United States. doi:. https://www.osti.gov/servlets/purl/1404932.
@article{osti_1404932,
title = {Filter replacement lifetime prediction},
author = {Hamann, Hendrik F. and Klein, Levente I. and Manzer, Dennis G. and Marianno, Fernando J.},
abstractNote = {Methods and systems for predicting a filter lifetime include building a filter effectiveness history based on contaminant sensor information associated with a filter; determining a rate of filter consumption with a processor based on the filter effectiveness history; and determining a remaining filter lifetime based on the determined rate of filter consumption. Methods and systems for increasing filter economy include measuring contaminants in an internal and an external environment; determining a cost of a corrosion rate increase if unfiltered external air intake is increased for cooling; determining a cost of increased air pressure to filter external air; and if the cost of filtering external air exceeds the cost of the corrosion rate increase, increasing an intake of unfiltered external air.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 25 00:00:00 EDT 2017},
month = {Wed Oct 25 00:00:00 EDT 2017}
}

Patent:

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