Statistical Modeling for Energy Consumption and Anomaly Detection in Rubber Vulcanization Process
Factories are forced to pay for higher energy costs in the next decades because of increasing demand for energy and limited fuel resources. Efficient management of energy is among the greatest of challenges, especially for those energy-intensive manufacturing businesses. Research efforts have been continuously made to improve the efficiency in energy consumption, and methods and tools for energy efficiency management have been developed with respect to economics/cost and environment. This paper proposes a new energy-efficient management model by investigating energy consumption at tire manufacturing workstations. The model is then used to support efficacy and safety for manufacturing operations from the perspective of energy consumption. The proposed model is based on the statistical analysis of energy consumption in the rubber vulcanization process. The efficient energy usage is characterized by the ratio of energy flow into product manufacturing process. The energy flow ratio provides a quantitative measure for detecting system anomaly. A study case for tire vulcanization is presented to validate the proposed approach.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/8674500
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Supplemental Notes:
- Copyright © 2013 American Society of Civil Engineers
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Authors:
- Yang, Hai-Dong
- Liu, Guo-Sheng
- Huang, George Q
- Chen, Xin
- Publication Date: 2013-6
Language
- English
Media Info
- Media Type: Digital/other
- Features: References;
- Pagination: pp 65-71
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Serial:
- Journal of Energy Engineering
- Volume: 139
- Issue Number: 2
- Publisher: American Society of Civil Engineers
- ISSN: 0733-9402
- Serial URL: http://ojps.aip.org.eyo
Subject/Index Terms
- TRT Terms: Economics; Energy consumption; Management; Natural resources; Statistical analysis; Vulcanization
- Uncontrolled Terms: Energy efficiency
- Subject Areas: Energy; Environment; Transportation (General); I15: Environment;
Filing Info
- Accession Number: 01481957
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: May 9 2013 11:27AM