| 1. |
- Liu, X., et al.
(författare)
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A feature based method for product-oriented representation to manufacturing resources in cloud manufacturing
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - : ASME Press. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- In cloud manufacturing, resources are encapsulated into manufacturing services to be provided in the manufacturing cloud. Resources representation is the basis for resources encapsulation. However, traditional representation methods to manufacturing resources mainly focus on the static description and/or current status of equipment. Research in productoriented representation to manufacturing capabilities is limited. As a result, the evaluation to resources in the manufacturing cloud is indirect which will complicate the decision making in service determination. This paper presents a feature based method for manufacturing resources representation. Machining features will be first extracted from the part model based on a predefined feature category. Then capabilities of resources linked by the manufacturing cloud to machine the part will be generated by computing the capabilities to machine the features based on a knowledge base composed of the rules to define resource capabilities. With this method, capabilities of manufacturing resources will be associated with certain product and the selection of service from the manufacturing cloud will be greatly facilitated.
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| 2. |
- Lu, B., et al.
(författare)
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Reusability based on life cycle sustainability assessment : Case study on WEEE
- 2014
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Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271.
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Konferensbidrag (refereegranskat)abstract
- Reuse is one of the key strategies of Waste Electrical and Electronic Equipment (WEEE) recycling system in China. Reuse can help realize eco-efficient and sustainable WEEE management, with environmentally friendly materials recovery. At present, reusability of products and components is determined only by the products functional situation or the economic cost benefit analysis. It does not cover all the three pillars of sustainability, including environment, economy and society. In this study, the emerging integrated method, Life Cycle Sustainability Assessment (LCSA), is employed to measure reusability of typical electrical and electronic products and components. The results of case studies show that, LCSA based reusability of typical electrical and electronic products and components will help improve WEEE management policy.
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| 3. |
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| 4. |
- Wang, Jinjiang, et al.
(författare)
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An EEMD and ICA-based Integrative Approach to Wind Turbine Gearbox Diagnosis
- 2013
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Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271. ; 12, s. 133-138
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Tidskriftsartikel (refereegranskat)abstract
- Increasing demand on energy has accelerated research on improving the reliability of wind turbines. As a critical component in wind turbine drivetrains, the majority of gearbox failures have shown to initiate from bearing failures. The low signal-to-noise ratio and transient nature of bearing signals pose significant difficulty for bearing defect diagnosis at the incipient stage. For improved bearing diagnosis, this paper presents a new method that integrates ensemble empirical mode decomposition (EEMD) with independent component analysis (ICA) to effectively separate bearing and gear meshing signals, without requiring a priori information on rotating speeds or bandwidth. The method first decomposes sensor measurement into a series of intrinsic mode functions (IMFs) as pseudo multi-channel signals, by means of EEMD, to satisfy the requirement by ICA for redundant information. ICA is performed on the IMFs to separate defective bearing components from gear meshing signal. Enveloping spectrum analysis is then performed to identify bearing structural defects. Both numerical and experimental studies have demonstrated the merit of the developed new method in improving gearbox diagnosis.
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| 5. |
- Wang, J., et al.
(författare)
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An Integrative Computational Method for Gearbox Diagnosis
- 2012
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Ingår i: EIGHTH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING. - : Elsevier. ; , s. 133-138
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Konferensbidrag (refereegranskat)abstract
- Increasing demand on energy has accelerated research on improving the reliability of wind turbines. As a critical component in wind turbine drivetrains, the majority of gearbox failures have shown to initiate from bearing failures. The low signal-to-noise ratio and transient nature of bearing signals pose significant difficulty for bearing defect diagnosis at the incipient stage. For improved bearing diagnosis, this paper presents a new method that integrates ensemble empirical mode decomposition (EEMD) with independent component analysis (ICA) to effectively separate bearing and gear meshing signals, without requiring a priori information on rotating speeds or bandwidth. The method first decomposes sensor measurement into a series of intrinsic mode functions (IMFs) as pseudo multi-channel signals, by means of EEMD, to satisfy the requirement by ICA for redundant information. ICA is performed on the IMFs to separate defective bearing components from gear meshing signal. Enveloping spectrum analysis is then performed to identify bearing structural defects. Both numerical and experimental studies have demonstrated the merit of the developed new method in improving gearbox diagnosis.
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| 6. |
- Wang, Lihui, et al.
(författare)
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A cloud-based approach for WEEE remanufacturing
- 2014
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Ingår i: CIRP annals. - : Elsevier BV. - 0007-8506 .- 1726-0604. ; 63:1, s. 409-412
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Tidskriftsartikel (refereegranskat)abstract
- The modern manufacturing industry calls for a new generation of integration models that are more interoperable, intelligent, adaptable and distributed. Evolved from service-oriented architecture, web-based manufacturing and cloud computing, cloud manufacturing is considered worldwide a new enabling technology for manufacturing enterprises to respond quickly and effectively to the changing global market. For Waste Electrical and Electronic Equipment (WEEE) in particular, it is a critical necessity to recycle, reuse and remanufacture WEEE products by setting up a cloud-based information system. In this paper, a novel service-oriented remanufacturing platform is proposed based on the cloud manufacturing concept.
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| 7. |
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| 8. |
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| 9. |
- Wang, Xi Vincent, et al.
(författare)
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A smart Cloud-based system for the WEEE Recovery/recycling
- 2014
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Ingår i: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. - 9780791845806
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Konferensbidrag (refereegranskat)abstract
- Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.
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| 10. |
- Wang, Xi vincent, et al.
(författare)
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From Cloud manufacturing to Cloud remanufacturing : A Cloud-based approach for WEEE recovery
- 2014
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Ingår i: Manufacturing Letters. - : Elsevier BV. - 2213-8463. ; 2:4, s. 91-95
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Tidskriftsartikel (refereegranskat)abstract
- The modern manufacturing industry calls for a new generation of integration models that are more interoperable, intelligent, adaptable and distributed. Evolved from service-oriented architecture, web-based manufacturing and Cloud computing, a Cloud manufacturing model has been discussed worldwide which enables manufacturing enterprises to respond quickly and effectively to the changing global market. Especially for Waste Electrical and Electronic Equipment (WEEE), it is a critical necessity to reuse, remanufacture, recycle and recover it by re-shaping the lifecycle management patterns. In this paper, recent WEEE research works are briefly reviewed. Next, a novel service-oriented remanufacturing platform is introduced based on the Cloud manufacturing concept.
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