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Sökning: hsv:(TEKNIK OCH TEKNOLOGIER) hsv:(Maskinteknik) > Örebro universitet

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2.
  • Khodadad, Davood, et al. (författare)
  • Full-field 3D deformation measurement : Comparison between speckle phase and displacement evaluation
  • 2016
  • Ingår i: Applied Optics. - : Optical Society of America. - 1559-128X .- 2155-3165 .- 0003-6935 .- 1539-4522. ; 55:27, s. 7735-7743
  • Tidskriftsartikel (refereegranskat)abstract
    • The objective of this paper is to describe a full-field deformation measurement method based on 3D speckle displacements. The deformation is evaluated from the slope of the speckle displacement function that connects the different reconstruction planes. For our experiment, a symmetrical arrangement with four illuminations parallel to the planes (x,z) and (y,z) was used. Four sets of speckle patterns were sequentially recorded by illuminating an object from the four directions, respectively. A single camera is used to record the holograms before and after deformations. Digital speckle photography is then used to calculate relative speckle displacements in each direction between two numerically propagated planes. The 3D speckle displacements vector is calculated as a combination of the speckle displacements from the holograms recorded in each illumination direction. Using the speckle displacements, problems associated with rigid body movements and phase wrapping are avoided. In our experiment, the procedure is shown to give the theoretical accuracy of 0.17 pixels yielding the accuracy of 2 × 10-3 in the measurement of deformation gradients
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3.
  • Löfstrand, Magnus, 1974-, et al. (författare)
  • A model for predicting and monitoring industrial system availability
  • 2012
  • Ingår i: International Journal of Product Development. - Bucks, United Kingdom : InderScience Publishers. - 1477-9056 .- 1741-8178. ; 16:2, s. 140-157
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • This paper describes the integration of a sensor data stream monitoring system into a proposed functional product model capable of predicting functional availability. Such monitoring systems enable predictive maintenance to be carried out pre-emptive maintenance that is scheduled in response to imminent hardware failure and are in widespread use in industry. The industrial motivation for this research is that agreed upon system availability is a critical element of any business-to-business agreement regarding functional sales. Such a model is important when making strategic choices regarding FPs and can be used to develop a high availability product design through simulation driven development, as well as to provide operational decision support that reflects the current reality to enable optimal availability to be achieved in practice. The proposed model integrates hardware, support system and monitoring system models, and is able to incorporate actual operational data. It has been partly verified based on previous research.
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4.
  • Reed, Sean, 1982-, et al. (författare)
  • Quantified economic and environmental values through Functional Productization : A simulation approach
  • 2018
  • Ingår i: Environmental impact assessment review. - : Elsevier. - 0195-9255 .- 1873-6432. ; 70, s. 71-80
  • Tidskriftsartikel (refereegranskat)abstract
    • Industrial companies rely on hardware and services from external providers to deliver functions that are critical to their operations, increasingly demanding solutions that not only meet technical and availability requirements but are sustainable too. Traditionally, industrial companies choose and purchase hardware and maintenance support to fulfil their functional requirements. An alternative arrangement, known as Functional Product (FP), involves external providers supplying customers with the functionality they require through contracts that specify guaranteed functional availability whilst giving providers freedom to choose and retain ownership of the supplied hardware and services. This paper describes an innovative simulation modelling and optimization approach to quantitatively compare economic and environmental values resulting from transition from traditional to FP arrangements. The approach is demonstrated through the analysis of a scenario involving a hydraulic drive system provider and set of customers in Sweden, with the results exhibiting simultaneous improvement in economic and environmental values at each stage of the transition.
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5.
  • Alzghoul, Ahmad, et al. (författare)
  • Data stream forecasting for system fault prediction
  • 2012
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 62:4, s. 972-978
  • Tidskriftsartikel (refereegranskat)abstract
    • Competition among today’s industrial companies is very high. Therefore, system availability plays an important role and is a critical point for most companies. Detecting failures at an early stage or foreseeing them before they occur is crucial for machinery availability. Data analysis is the most common method for machine health condition monitoring. In this paper we propose a fault-detection system based on data stream prediction, data stream mining, and data stream management system (DSMS). Companies that are able to predict and avoid the occurrence of failures have an advantage over their competitors. The literature has shown that data prediction can also reduce the consumption of communication resources in distributed data stream processing. In this paper different data-stream-based linear regression prediction methods have been tested and compared within a newly developed fault detection system. Based on the fault detection system, three DSM algorithms outputs are compared to each other and to real data. The three applied and evaluated data stream mining algorithms were: Grid-based classifier, polygon-based method, and one-class support vector machines (OCSVM). The results showed that the linear regression method generally achieved good performance in predicting short-term data. (The best achieved performance was with a Mean Absolute Error (MAE) around 0.4, representing prediction accuracy of 87.5%). Not surprisingly, results showed that the classification accuracy was reduced when using the predicted data. However, the fault-detection system was able to attain an acceptable performance of around 89% classification accuracy when using predicted data.
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6.
  • Alzghoul, Ahmad, et al. (författare)
  • Data stream mining for increased functional product availability awareness
  • 2011
  • Ingår i: Functional Thinking for Value Creation. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642196881 - 9783642196898 ; , s. 237-241
  • Konferensbidrag (refereegranskat)abstract
    • Functional Products (FP) and Product Service Systems (PSS) may be seen as integrated systems comprising hardware and support services. For such offerings, availability is key. Little research has been done on integrating Data Stream Management Systems (DSMS) for monitoring (parts of) a FP to improve system availability. This paper introduces an approach for how data stream mining may be applied to monitor hardware being part of a Functional Product. The result shows that DSMS have the potential to significantly support continuous availability awareness of industrial systems, especially important when the supplier is to supply a function with certain availability.
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7.
  • Alzghoul, Ahmad, et al. (författare)
  • Increasing availability of industrial systems through data stream mining
  • 2011
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 60:2, s. 195-205
  • Tidskriftsartikel (refereegranskat)abstract
    • Improving industrial product reliability, maintainability and thus availability is a challenging task for many industrial companies. In industry, there is a growing need to process data in real time, since the generated data volume exceeds the available storage capacity. This paper consists of a review of data stream mining and data stream management systems aimed at improving product availability. Further, a newly developed and validated grid-based classifier method is presented and compared to one-class support vector machine (OCSVM) and a polygon-based classifier.The results showed that, using 10% of the total data set to train the algorithm, all three methods achieved good (>95% correct) overall classification accuracy. In addition, all three methods can be applied on both offline and online data.The speed of the resultant function from the OCSVM method was, not surprisingly, higher than the other two methods, but in industrial applications the OCSVMs' comparatively long time needed for training is a possible challenge. The main advantage of the grid-based classification method is that it allows for calculation of the probability (%) that a data point belongs to a specific class, and the method can be easily modified to be incremental.The high classification accuracy can be utilized to detect the failures at an early stage, thereby increasing the reliability and thus the availability of the product (since availability is a function of maintainability and reliability). In addition, the consequences of equipment failures in terms of time and cost can be mitigated.
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8.
  • Johanson, Mathias, et al. (författare)
  • Collaborative innovation through distributed engineering services
  • 2009
  • Ingår i: Proceedings of International Multi-Conference on Engineering and Technological Innovation.
  • Konferensbidrag (refereegranskat)abstract
    • Rapid advancement in information and communication technology in recent decades has presented new opportunities for carrying out sophisticated engineering work in distributed teams, using tools and techniques collectively referred to as Distributed Collaborative Engineering (DCE). This kind of on-line collaboration not only cuts costs due to reduced travel, but also fosters innovation in product development, by bringing together groups of people in collaborative teams with complementary competences, that would otherwise be difficult to realize. Moreover, the convergence of technologies for telecommunication and information technology now makes it possible for companies specialized in collaboration technology to deliver sophisticated services for DCE, which can be purchased by engineering companies on a pay-per-use basis. By outsourcing the installation, management and support of the collaboration tools, the engineering companies can focus on their product development projects while harnessing the full potential of DCE to become more efficient and competitive. We believe that this new way of conducting engineering work will be an important key to innovation in the future. In this paper, we analyze the requirements for delivering DCE as a service and describe the implications this has in terms of systems design, business models and competence requirements. Furthermore, in addition to the primary return on investment in DCE services, we cite cost reductions and reduced CO2 emissions as further benefits.
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9.
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10.
  • Karlsson, Lennart, et al. (författare)
  • Functional Products - Goodbye to the industrial age
  • 2012
  • Ingår i: Ericsson Business Review. - Stockholm, Sweden : Telefonaktiebolaget LM Ericsson. - 1653-9486. ; 18:2, s. 21-24
  • Tidskriftsartikel (populärvet., debatt m.m.)
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