| 1. |
- Ahmadzadeh, Farzaneh, et al.
(författare)
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Application of multi regressive linear model and neural network for wear prediction of grinding mill liners
- 2013
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Ingår i: International Journal of Advanced Computer Sciences and Applications. - 2158-107X .- 2156-5570. ; 4:5, s. 53-58
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Tidskriftsartikel (refereegranskat)abstract
- The liner of an ore grinding mill is a critical component in the grinding process, necessary for both high metal recovery and shell protection. From an economic point of view, it is important to keep mill liners in operation as long as possible, minimising the downtime for maintenance or repair. Therefore, predicting their wear is crucial. This paper tests different methods of predicting wear in the context of remaining height and remaining life of the liners. The key concern is to make decisions on replacement and maintenance without stopping the mill for extra inspection as this leads to financial savings. The paper applies linear multiple regression and artificial neural networks (ANN) techniques to determine the most suitable methodology for predicting wear. The advantages of the ANN model over the traditional approach of multiple regression analysis include its high accuracy.
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| 2. |
- Ahmadzadeh, Farzaneh, et al.
(författare)
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Multivariate process parameter change identification by neural network
- 2013
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Ingår i: The International Journal of Advanced Manufacturing Technology. - : Springer Science and Business Media LLC. - 0268-3768 .- 1433-3015. ; 69:9-12, s. 2261-2268
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Tidskriftsartikel (refereegranskat)abstract
- Whenever there is an out-of-control signal in process parameter control charts, maintenance engineers try to diagnose the cause near the time of the signal which is not always lead to prompt identification of the source(s) of the out-of-control condition and this in some cases yields to extremely high monetary loses for manufacture owner. This paper applies multivariate exponentially weighted moving average (MEWMA) control charts and neural networks to make the signal identification more effective. The simulation of this procedure shows that this new control chart can be very effective in detecting the actual change point for all process dimension and all shift magnitudes considered. This methodology can be used in manufacturing and process industries to predict change points and expedite the search for failure causing parameters, resulting in improved quality at reduced overall cost. This research shows development of MEWMA by usage of neural network for identifying the step change point and the variable responsible for the change in the process mean vector.
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| 3. |
- Ahmadzadeh, Farzaneh, et al.
(författare)
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Remaining useful life estimation : Review
- 2014
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Ingår i: International Journal of Systems Assurance Engineering and Management. - : Springer Science and Business Media LLC. - 0975-6809 .- 0976-4348. ; 5:4, s. 461-474
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Tidskriftsartikel (refereegranskat)abstract
- This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages. According to the literature, the selection of the best model depends on the level of accuracy and availability of data. In cases of quick estimations which are less accurate, the data driven method is preferred, while the physics based approach is applied when the accuracy of estimation is important.
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| 4. |
- Ahmadzadeh, Farzaneh, et al.
(författare)
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Remaining useful life prediction of grinding mill liners using an artificial neural network
- 2013
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Ingår i: Minerals Engineering. - : Elsevier BV. - 0892-6875 .- 1872-9444. ; 53, s. 1-8
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Tidskriftsartikel (refereegranskat)abstract
- Knowing the remaining useful life of grinding mill liners would greatly facilitate maintenance decisions. Now, a mill must be stopped periodically so that the maintenance engineer can enter, measure the liners’ wear, and make the appropriate maintenance decision. As mill stoppage leads to heavy production losses, the main aim of this study is to develop a method which predicts the remaining useful life of the liners, without needing to stop the mill. Because of the proven ability of artificial neural networks (ANNs) to recognize complex relationships between input and output variables, as well as its adaptive and parallel information-processing structure, an ANN has been designed based on the various process parameters which influence wear of the liners. The process parameters were considered as inputs while remaining height and remaining life of the liners were outputs. The results show remarkably high degree of correlation between the input and output variables. The performance of the neural network model is very consistent for data used for training (seen) and testing (unseen).
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| 5. |
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| 6. |
- Asl, Aliakbar Golshani, et al.
(författare)
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Risk prioritization based on health, safety and environmental factors by using fuzzy FMEA
- 2013
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Ingår i: International Journal of Mining, Metallurgy & Mechanical Engineering. - : International Scientific Academy of Engineering & Technology. - 2320-4052 .- 2320-4060. ; 1:4, s. 233-237
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Tidskriftsartikel (refereegranskat)abstract
- Failure Mode and Effects Analysis is assessing technique which relies to the rule of preventing failure, which is used to identify potential hazards. This method is used with minimum risks to predict the problems and deficits in design stage or development of the processes and services in organizations. The methods main principal is based on multiplying three main parameters: severity, occurrence, detection. This method with all the advantages still has minor disadvantages that in this paper attempts has been made to eliminate these deficiencies by fuzzification. Results show that fuzzy FMEA will enables us to evaluate situations correctly and precisely.
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| 7. |
- Bertoni, Marco, et al.
(författare)
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Engineering 2.0: leveraging a bottom-up and lightweight knowledge sharing approach in cross-functional product development teams
- 2010
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Ingår i: Proceedings of I-KNOW 2010. - Graz, Austria. ; , s. 105-116, s. 105-116
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Konferensbidrag (refereegranskat)abstract
- This paper explores the application of Web 2.0 based technologies in the area of engineering product development. Growing on data collected from a case study in the Swedish manufacturing industry, the paper analyses the dichotomy between the prevailing hierarchical structure of CAD/PLM/PDM systems and the emerging principles of the Social Web, e.g. the self-organization of its users. It introduces the concept of Engineering 2.0, intended as a more bottom up and lightweight knowledge sharing approach supporting early stage design decisions within cross-functional product development teams. A set of scenarios related e.g. to the application of blogs, wikis, forums and tags in the engineering domain are eventuallypresented, highlighting opportunities, challenges and no-go areas.
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| 8. |
- Bertoni, Marco, et al.
(författare)
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Leveraging Web 2.0 in New Product Development: Lessons Learned from a Cross-company Study
- 2011
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Ingår i: Journal of universal computer science (Online). - Austria. - 0948-695X .- 0948-6968. ; 17:4, s. 548-564
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Tidskriftsartikel (refereegranskat)abstract
- The paper explores the application of Web 2.0 technologies to support product development efforts in a global, virtual and cross-functional setting. It analyses the dichotomy between the prevailing hierarchical structure of CAD/PLM/PDM systems and the principles of the Social Web under the light of the emerging product development trends. Further it introduces the concept of Engineering 2.0, intended as a more bottom up and lightweight knowledge sharing approach to support early stage design decisions within virtual and cross-functional product development teams. The lessons learned collected from a cross-company study highlight how to further developblogs, wikis, forums and tags for the benefit of new product development teams, highlighting opportunities, challenges and no-go areas.
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| 9. |
- Bertoni, Marco, et al.
(författare)
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Social Technologies for Cross-Functional Product Development: SWOT Analysis and Implications
- 2012
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Ingår i: 45th Hawaii International Conference on System Science (HICSS). - Los Alamos, Calif. : IEEE Communications Society. - 9780769545257 - 9781457719257 ; , s. 3918-3927
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Konferensbidrag (refereegranskat)abstract
- Innovation is triggered by the cross-pollination of fields and disciplines. In product development, this means bringing together people with different expertise to develop breakthrough product and service offers. In spite of their great potential, cross-functional efforts are not yet adequately supported from a knowledge perspective, asking for a more open and bottom-up open approach to knowledge management. The paper aims to investigate how social technologies can enhance collaboration and knowledge sharing in complex, cross-functional and cross-organizational product development projects. It initially highlights the role of weak ties as enablers for more innovative design processes, especially when manufacturing companies move towards developing integrated offers mixing hardware, software and services. Emerging from data collected in two case studies conducted within the European aeronautical industry, it applies the Strength-Weaknesses-Opportunities-Threats (SWOT) framework to highlight how tools such as wikis, blogs, forum and microblogs can shorten and increase the quality of early design decisions. Furthermore it elaborates on how the design team can enhance its perception of the needs to be addressed and leverage its capability to develop solutions for the task at hand.
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| 10. |
- Bertoni, Marco, et al.
(författare)
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The Rise of Social Product Development
- 2012
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Ingår i: International Journal of Networking and Virtual Organisations. - Australia : Inderscience Publishers. - 1741-5225 .- 1470-9503. ; 11:2, s. 188-207
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Tidskriftsartikel (refereegranskat)abstract
- The aim of the paper is to discuss the rising potential of social software to increase the knowledge management capabilities of virtual product development teams. It presents six fundamental transitions, elaborated from the empirical findings, which justify the rise of a more bottom-up, social creation and sharing of engineering knowledge in the virtual organisation. The study suggests that traditional engineering knowledge management approaches alone are not sufficient to support development activities in the virtual organisation, and that such teams display an increasing demand for social, comparatively lightweight and remixable platforms for bottom-up, social creation and sharing of knowledge.
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