General information/hints:

Presentation time for full papers: 25min
Presentation time for short papers: 15min
Presentations are followed by max 5min Q&A (clarification questions)
Then the pre-assigned discussant (see below) triggers ca. 15min of discussion

Details on the keynote:

Speaker:

Title of Keynote: WatchCat Toolbox: One practical approach to industrial data analytics

Abstract: Siemens AG is a world leader in industrial compressors, gas/steam/wind turbines, milling machines, large drives, and electrical equipment. In many cases, SIEMENS AG provides Remote Diagnostic Services (RDS) for these expensive machines. Technically, it consists of two main features: (1) Data Acquisition, Transition and Storage: On each site connected to the RDS, so-called Data Collector automatically collects data from control systems (e.g., Simatic S7, PCS 7, WinCC), performs pre-processing and preparations for transmission. Then, at 00:00 local time it transmits all the data collected for last 24 hours to a central server. (2) Data Evaluation and Diagnostics: As soon as the 24h data is stored, it becomes available to monitoring engineers via in monitoring dashboards, engineering and reporting tools. Furthermore, it is used for advanced analysis by smart agents running on the server, e.g., sequence event analysis, performance calculations and trends, vibrations and thermodynamics, just to name a few. These automated diagnostic results contribute a great deal to the condition monitoring and predictive maintenance programs of RDS. During the talk we will present the so-called WatchCat toolbox. It is used by monitoring engineers for a rapid development, testing and deployment of smart agents. First, we give a brief overview of WatchCat toolbox. Then, we present so-called SEPL (Signal Event processing Language) – a visual script language for coding smart agents. We give design ideas of SEPL processing engine along with an overview of basic SEPL operations. Finally, we demonstrate how WatchCat toolbox is used in practice by showing some real-life examples of smart agents implemented by using SEPL.

CV Mr. Alexey Fishkin received his BS in Math, Diploma in Economics and MS in Computer Science and Applied Mathematics in 1998 from Novosibirsk State University. In 2003, he received Ph.D. in Computer Science from University of Kiel. From 2000 to 2004 he was a research fellow at the Institute of Parallelism at the University of Kiel. From 2005 to 2006, he was a PostDoc at the Max-Planck Institute for Informatics and an assistant professor at the Department of Computer Science at the University of Liverpool. In these years, he has participated in many international and national research projects, co-authored about 30 papers in international journals and conference proceedings. In 2008, he received MS in System Engineering from Clausthal Technical University. Since 2006 Alexey Fishkin is a research scientist at the Corporate Technology of SIEMENS AG. He is involved in research activities and management of the “Diagnostics” Portfolio at the Research Group for “Semantics, Modelling and Reasoning”. He is a technical lead and research manager in a large number of R&D projects funded by the business units of SIEMENS AG. The results of these projects are used in many applications and products, e.g., MAGNETOM MRI, SIENEMA, PROFINET, STA-RMS and PIMAQ. He is co-inventor of 18 international patents. His research interests include efficient algorithms and data structures, data analytics and learning, complex event and stream processing, reasoning, diagnostics of complex industrial systems, domain specific languages, distributed and multicore applications. He is a member of the IEEE.

Contact: Siemens AG Corporate Technology, CT RDA BAM SMR-DE, Otto-Hahn-Ring 6, 81739 München, Deutschland, firstname.lastname [-at-] siemens.com, http://www.siemens.com/ingenuityforlife

Information for Discussants

At MoLS, we follow a "pre-assigned discussant model", this means each presenter will also have to discuss one of the other presenters' papers (see the program above for the assignment of discussants to papers). As a discussant, please prepare and bring with you to the workshop one slide with the information described below and be prepared to present it right after the presentation of the paper you have been assigned. The key idea is to give a critical yet constructive review of the paper directly after its presentation to trigger further discussions.

Please prepare a slide for your role as a discussant providing information about:

(o) Summary of contributions (briefly summarize what's special about the paper/presented research)
(o) Key open issues to be discussed/questions (Is something unclear? Where do you see problems?)
(o) Concrete suggestions for improvement (Do you have concrete input for your peers what they could/should improve/do next?)
(o) Other general points for discussion (Do you have any other points that you want to discuss?)

We will send you the papers you have to discuss, together with a slide template via mail.

Please be constructive and provide useful feedback to your peers.