{"title":"System identification and extraction of timing properties from controller area network (CAN) message traces","authors":"M. Natale, Haibo Zeng","doi":"10.1109/ETFA.2010.5641332","DOIUrl":null,"url":null,"abstract":"This work describes methods for the analysis of CAN message traces to identify the configuration of systems with a missing or incomplete message set specification, and also to detect the cause and find the possible remedy to timing faults or non-ideal timing behaviors. Based on the message id and time stamp recorded at a tracing node by a bus probe, the analysis reconstructs the expected message arrival time at the source node and detects the queuing and transmission policies used at the middleware- and driver-level by the supplier of each node. We show the application of our analysis method to two automotive case studies. In the first, a timing fault is analyzed and its causes are detected. In the second, the objective is to identify the message set and its configuration when this information is not available.","PeriodicalId":201440,"journal":{"name":"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)","volume":"46 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2010.5641332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This work describes methods for the analysis of CAN message traces to identify the configuration of systems with a missing or incomplete message set specification, and also to detect the cause and find the possible remedy to timing faults or non-ideal timing behaviors. Based on the message id and time stamp recorded at a tracing node by a bus probe, the analysis reconstructs the expected message arrival time at the source node and detects the queuing and transmission policies used at the middleware- and driver-level by the supplier of each node. We show the application of our analysis method to two automotive case studies. In the first, a timing fault is analyzed and its causes are detected. In the second, the objective is to identify the message set and its configuration when this information is not available.