{"title":"STEP to DMIS: Automated generation of inspection plans from CAD data","authors":"S. V. B. Sathi, P. Rao","doi":"10.1109/COASE.2009.5234154","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234154","url":null,"abstract":"The present work is concerned with automated generation of process plans for CMM based part inspection from CAD models. The importance and advantage of the proposed system is that it uses STEP (ISO 10303) file of the part to be inspected as an input and gives inspection process plan of the part as an output in DMIS (ISO 22903) format. This is the first time an effort has been made to integrate design and inspection using two international standards. This is made possible due to recent developments in STEP to incorporate part tolerance information which is essential for inspection automation. The Edition 2 of STEP AP 203 which was released recently has this provision. The inspection automation system proposed in this work has three automation modules. First module uses geometric and product information of part to identify surface features to be probed for inspection. Second module automates setup planning and probe selection accounting for feature accessibility. Probe path planning and generation of inspection plan are part of third automation module. The proposed system has been developed and tested for inspection automation of manufactured parts to be inspected in an industrial environment.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129310858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Andersson, B. Lennartson, P. Falkman, Martin Fabian
{"title":"Generation of restart states for manufacturing systems with discarded workpieces","authors":"K. Andersson, B. Lennartson, P. Falkman, Martin Fabian","doi":"10.1109/COASE.2009.5234175","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234175","url":null,"abstract":"In earlier work we presented a method for restart of manufacturing systems. After correction of an error, the system resumes normal production by returning to a certain restart state in the control function, and from there reexecutes parts of the work schedule. In the present paper the method is extended to handle also systems where some, but not necessarily all, workpieces are discarded during the error correction preceding the restart. The restart process must then replace the discarded workpieces with new ones. The workpieces that remain in the cell may limit the possibilities of executing certain operations needed to process the new workpieces correctly, thus complicating the restart. Properties of the restart states that guarantee a correct restart are defined, typical situations that make the system impossible to restart are presented, and some suggestions are given for modifications that make the system restartable.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122203150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Micro-mixing of highly viscous bio-samples using orbital shaking","authors":"Liang Yuan, Yuan F. Zheng","doi":"10.1109/COASE.2009.5234139","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234139","url":null,"abstract":"Micro-mixing of highly viscous bio-samples is considered. Existing methods mix bio-samples by only shaking micro-wells or by specially designed micro-stirrers which are ineffective or unapplicable for highly viscous materials, letting alone small volumes at microliter or nanoliter level. Our method mixes viscous bio-samples in micro-wells using orbital shaking plus an innovative block which is built in with micro-channels. In this paper, the design of the block is presented, the flow of the bio-samples in the micro-channel under orbital shaking is developed, the Reynolds number of the flow in the micro- channel is calculated, and the dynamics of the mixing process is analyzed. Finally experiment results of mixing monoolein with water are presented. In each trial, X-ray diffraction is used to evaluate the results of mixing which confirm that the proposed approach is effective for mixing highly viscous bio-samples.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115444113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Sankavaram, B. Pattipati, A. Kodali, K. Pattipati, M. Azam, Sachin Kumar, M. Pecht
{"title":"Model-based and data-driven prognosis of automotive and electronic systems","authors":"C. Sankavaram, B. Pattipati, A. Kodali, K. Pattipati, M. Azam, Sachin Kumar, M. Pecht","doi":"10.1109/COASE.2009.5234108","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234108","url":null,"abstract":"Recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. Concomitantly, there is an increased trend towards the forecasting of system degradation through a prognostic process to fulfill the needs of customers demanding high vehicle availability. Prognosis is viewed as an add-on capability to diagnosis that assesses the current health of a system and predicts its remaining life based on sensed features that capture the gradual degradation in the operation of the vehicle. This paper discusses a hybrid model-based, data-driven and knowledge-based integrated diagnosis and prognosis framework, and applies it to automotive (suspension and battery systems) and on-board electronic systems.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115665499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Bukkapatnam, Srinivas Mukkamala, J. Kunthong, V. Sarangan, R. Komanduri
{"title":"Real-time monitoring of container stability loss using wireless vibration sensor tags","authors":"S. Bukkapatnam, Srinivas Mukkamala, J. Kunthong, V. Sarangan, R. Komanduri","doi":"10.1109/COASE.2009.5234115","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234115","url":null,"abstract":"Container packages experience diverse forms of mechanical excitations during their transportation and handling. Some of these excitations can damage the goods and make them reach their final destination with defects. Early detection of damages to container packages during their transport on a container truck can allow the truck driver to take the necessary steps to avert larger damages and thus cause significant cost savings. Sensor based approaches are being investigated to provide this early detection capability. This paper presents an approach that uses wireless vibration sensors based on Zigbee protocol to monitor the integrity and safety of packages during transportation. T-mote Sky wireless nodes integrated with two 2-axis MEMS accelerometers were used to monitor the integrity of the packages. Experiments were conducted to discern the vibration patterns resulting from some common modes of mechanical stability losses, such as wobbling, tilting, colliding and sliding. The experiments used a 1:32 scaled version of RC truck and a proportionately sized container. The vibration patterns under multiple stability loss modes were captured. It was observed that each type of stability loss can be clearly classified based on the patterns in the vibration data collected. Extraneous signal components were suppressed using a wavelet analysis, and fidelity of the signals capturing the pattern associated with the stability loss events was enhanced. Thus, each stability loss is associated with a specific set of abnormal (out-of-control) behavioral patterns exhibited by the processes vibration signals. An interrogation and detection procedure was developed based on this wavelet analysis to detect in realtime the stability loss as well as the times and identities of the specific modes of stability loss that occurred during the span of time over which the measured data is collected. The results show that the multi-scale monitoring facilitated by the wavelet analysis of signals from the wireless vibration sensor tags can be useful for accurate detection of stability loss events.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124094764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Workflow completion patterns","authors":"N. Trcka, Wil M.P. van der Aalst, N. Sidorova","doi":"10.1109/COASE.2009.5234170","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234170","url":null,"abstract":"The most common correctness requirement for a (business) workflow is the completion requirement, imposing that, in some form, every case-instance of the workflow reaches its final state. In this paper, we define three workflow completion patterns, called the mandatory, optional and possible completion. These patterns are formalized in terms of the temporal logic CTL*, to remove ambiguities, allow for easy comparison, and have direct applicability. In contrast to the existing methods, we do not look at the control flow in isolation but include some data information as well. In this way the analysis remains tractable but gains precision. Together with our previous work on data-flow (anti-)patterns, this paper is a significant step towards a unifying framework for complete workflow verification, using the well-developed, stable, adaptable, and effective modelchecking approach.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dip Goswami, P. Seshadri, Unmesh D. Bordoloi, S. Chakraborty
{"title":"A DECOMSYS based tool-chain for analyzing FlexRay based automotive control applications","authors":"Dip Goswami, P. Seshadri, Unmesh D. Bordoloi, S. Chakraborty","doi":"10.1109/COASE.2009.5234107","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234107","url":null,"abstract":"It is now widely believed that FlexRay will emerge as predominant protocol for in-vehicle automotive communication systems. As a result, there has been a lot of recent interest in timing and predictability analysis techniques that are specifically targeted towards FlexRay based electronic control units (ECU) networks. In this work, the DECOMSYS tool [1] is used for mapping the tasks on different ECUs, configuring the scheduling policy used at each ECU, and specifying the FlexRay parameters (e.g. slot sizes and message priorities). The overall system requirements are simulated by flashing such FlexRay based ECU network specifications into the DECOMSYS node. The design tools such as DECOMSYS mostly rely on simulations. As a result, they are time-consuming to use and unable to provide formal performance guarantees, which are important in the automotive domain. In our previous works, we have proposed a Real-Time Calculus (RTC) based compositional performance analysis framework for an ECU network that communicates via FlexRay bus [2]. The RTC based framework allows computation of performance analysis parameters such as the maximum end-to-end delay experienced by any message, the amount of buffer required at each communication controller and the utilization of the different ECUs and the bus. In this paper, we have plugged in the RTC based framework into the DECOMSYS tool. The combined setup consisting of DECMSYS and RTC based framework can be utilized to obtain hard performance guarantees, which can then be cross-validated using simulation.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124853997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Simple instrumentation calibration technique for Electrical Impedance Tomography (EIT) using a 16-electrode phantom","authors":"T. Bera, J. Nagaraju","doi":"10.1109/COASE.2009.5234117","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234117","url":null,"abstract":"A simple analog instrumentation for Electrical Impedance Tomography is developed and calibrated using the practical phantoms. A constant current injector consisting of a modified Howland voltage controlled current source fed by a voltage controlled oscillator is developed to inject a constant current to the phantom boundary. An instrumentation amplifier, 50 Hz notch filter and a narrow band pass filter are developed and used for signal conditioning. Practical biological phantoms are developed and the forward problem is studied to calibrate the EIT-instrumentation. An array of sixteen stainless steel electrodes is developed and placed inside the phantom tank filled with KCl solution. 1 mA, 50 kHz sinusoidal current is injected at the phantom boundary using adjacent current injection protocol. The differential potentials developed at the voltage electrodes are measured for sixteen current injections. Differential voltage signal is passed through an instrumentation amplifier and a filtering block and measured by a digital multimeter. A forward solver is developed using Finite Element Method in MATLAB7.0 for solving the EIT governing equation. Differential potentials are numerically calculated using the forward solver with a simulated current and bathing solution conductivity. Measured potential data is compared with the differential potentials calculated for calibrating the instrumentation to acquire the voltage data suitable for better image reconstruction.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128586675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliable ring based multicast routing scheme in MANET: An agent based approach","authors":"R. Biradar, S. Manvi","doi":"10.1109/COASE.2009.5234128","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234128","url":null,"abstract":"In this position paper, we propose an agent based multicast routing scheme for Mobile Ad hoc Networks (MANET) that builds a backbone in the form of reliable ring. The reliability of links is modeled by probabilistic measure of link failures to create reliable links and thus create multicast paths using reliable ring formed by these reliable links. The reliable ring is constructed by an agency that finds the links among MANET nodes to form reliable path covering an area of maximum number of ad hoc nodes. Once the reliable ring is established, the agency identifies various multicast paths from source to destinations connecting through ring links. Recovery of link and node failures is performed locally using coordinated agents through knowledge base.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127257774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rule extraction from differential evolution trained radial basis function network using genetic algorithms","authors":"N. Naveen, V. Ravi, C. R. Rao","doi":"10.1109/COASE.2009.5234172","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234172","url":null,"abstract":"In this paper, we present a GA based methodology for extracting rules from radial basis function neural network trained by differential evolution. Rules are extracted using GATree. Here outputs predicted by the differential evolution trained radial basis function network along with the input variables are fed to the GATree for rule extraction purpose. The performance of the hybrid method was tested on three benchmark datasets namely Iris, Wine and Wisconsin Breast Cancer, using 10-fold cross validation. The rules extracted by the hybrid yielded high accuracies on all datasets.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127309545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}