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Diagnosis School 2015

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6th INTERNATIONAL SCHOOL ON FAULT DETECTION AND DIAGNOSIS OF COMPLEX SYSTEMS

Segovia (Spain), from 22nd to 26th June, 2015


TENTATIVE PROGRAM

  

Time

Monday

Tuesday

Wednesday

Thursday

Friday

09:00-10:00

Opening

and Invited Conference

T2. FDI Approach

T4. AI-DX approach

T6. Prognosis

T3. FDI based on statistical models

10:00-11:00

11:30-12:30

T1.MBD Fundamentals

T2. FDI Approach

T4. AI-DX approach

T6. Prognosis

T3. FDI based on statistical models /
T8. BRIDGE

12:30-13:30

13:30-15:00

Lunch

Lunch

Lunch

Lunch

Lunch

15:00-16:00

T2. FDI Approach

T4. AI-DX approach
T5. Diagnosing Business Processes

T7. Model-based diagnosis with probabilistic models

T8. BRIDGE

16:00-17:00

17:00-18:30

T7. Model-based diagnosis with probabilistic models

T7. Model-based diagnosis with probabilistic models

  Closing

Classrooms

T0. OPENING CONFERENCE (2 h).



T1. INTRODUCTION. FUNDAMENTAL CONCEPTS (2 h)

Lecturers: María Jesús de la Fuente Aparicio, Joaquim Armengol Llobet

T1.1. Definitions: fault, failure, detection, diagnosis, reliability,...
T1.2. Foundations for fault detection and diagnosis in FDI and DX: detectability, observability, diagnosability,...



T2. MODEL-BASED DIAGNOSIS: THE FDI APPROACH (7 h)

Lecturers: María Jesús de la Fuente, Vicenç Puig, Joaquim Armengol Llobet

T2.1. Structural analysis and analytical redundancy.
T2.2. Model-based detection methods: parameter estimation, parity equations, state observers for linear and non-linear models.
T2.3. Fault detection: residual evaluation by envelope generators.
T2.4. Fault isolation: structured and directional residuals.
T2.5. Open issues in FDI research



T3. FAULT DIAGNOSIS USING STATISTICAL METHODS (3 h)  

Lecturer: Joaquim Melendez Frigola

T3.1. Fault diagnosis using statistical methods.



T4. MODEL-BASED DIAGNOSIS: THE DX APPROACH   (7 h)

Lecturers 4.1 and 4.2: Carlos J. Alonso González and Belarmino Pulido Junquera

Lecturers 4.3: Rafael M. Gasca, Carmelo del Valle, and Maria Teresa Gómez López

T4.1. Model-based diagnosis from AI Community. Consistency-based diagnosis, CBD: Reiter's approach.
T4.2. GDE: the computational approach to Consistency Based Diagnosis.
T4.3. Constraint-driven fault diagnosis.


T5. DIAGNOSING BUSINESS PROCESSES (2 h)

Lecturer: María Teresa Gómez López

1. Introduction to business processes: imperative and declarative languages


2. Model-based diagnosis applied to BP

3. Prognosis for robust business process models

T6. PROGNOSIS (4 h)

Invited lecturer: José Celaya

T6.1. Introduction to Prognostics. Fundamental concepts. 
T6.2. Electronics PHM.




T7. MODEL-BASED DIAGNOSIS WITH PROBABILISTIC MODELS (6 h)

Lecturer: Gregory Provan

T7.1. Probabilistic reasoning fundamentals. 
T7.2. Model-based Diagnosis with probabilistic models.




T8. BRIDGE: INTEGRATION OF FDI AND DX APPROACHES (3 h)

Invited Lecturer: Louise Travé-Massuyès

T8.1. Theoretical links and comparison.
T8.2. Practical comparison and potential synergies.


REGULAR LECTURERS:

The academic stuff will be made from members of different research groups of the Spanish Network on Supervision and Diagnosis of Complex Systems

- Joaquim Meléndez and Joaquim Armengol from the groups MICE and EXIT at Universitat de Girona

- Vicenç Puig and Teresa Escobet from the group SAC at Universitat Politècnica de Catalunya

- Carmelo del Valle, Rafael M. Gasca and María Teresa Gómez from the group Quivir at Universidad de Sevilla

- Carlos Alonso, Aníbal Bregón, María Jesús de la Fuente and Belarmino Pulido from the groups GSI and FDD at Universidad de Valladolid


INVITED LECTURERS:

José R. Celaya  is a Senior Data Scientist in the Software Technology and Innovation Center at Schlumberger, Menlo Park, CA, USA. Previously, he was a research scientist with SGT Inc., a senior member in the Prognostics Center of Excellence, and the Diagnostics and Prognostics Group Co-Lead at NASA Ames Research Center. He received a Ph.D. degree in Decision Sciences and Engineering Systems in 2008, a M. E. degree in Operations Research and Statistics in 2008, a M. S. degree in Electrical Engineering in 2003, all from Rensselaer Polytechnic Institute, Troy New York; and a B. S. in Cybernetics Engineering in 2001 from CETYS University, México. 





Louise Travé-Massuyèsfrom LAAS-CNRS (Toulouse, France) will talk about BRIDGE: Integration of FDI and DX approaches (T4). She is Research Director of the Centre National de Recherche Scientifique (CNRS), working at LAAS, Toulouse, France, in which she has led the « Diagnosis and Supervisory Control » (DISCO) Group for several years.

Her main research interests are in Qualitative and Model-Based Reasoning and applications to dynamic systems Supervision and Diagnosis. She has been particularly active in bridging the AI and Control Engineering Model-Based Diagnosis communities, as leader of the BRIDGE Task Group of the MONET European Network. She has been responsible from several industrial and european projects and published more than 250 papers in international conference proceedings and scientific journals.

She is coordinator of the Maintenance & Diagnosis Strategic Field within the Aerospace Valley World Competitiveness Cluster, and serves as the contact evaluator for the projects submitted to the French Research Funding Agency. She serves in the Editorial Board of the prestigious Artificial Intelligence Journal. She is member of the IFAC Safeprocess Technical Committee and Senior Member of the IEEE Computer Society.


Gregory Provan is currently a Professor at the Computer Science Department at University College Cork (UCC), in Cork, Ireland. He received a D.Phil. degree in computer science from the University of Oxford, England. He also holds an MSc degree from Stanford University and a BSE from Princeton University.

Prof. Provan works in the areas of diagnostics, systems modelling, control, machine learning, energy systems optimisation, and algorithms. He is currently involved with three research organizations: he is the Director of the Complex Systems Lab (http://www.cs.ucc.ie/ccsl/) at UCC; he is a Principal Investigator (PI) in the Irish Centre for Software Engineering Research (LERO: http://www.lero.ie/); and he is a funded investigator in the Centre for Data Analytics (Insight: https://www.insight-centre.org/).

Prior to his appointment at UCC, he spent 10 years as technical manager at Rockwell Scientific Company, leading the Autonomous Systems group. During that time Dr. Provan was involved in designing control and diagnostics systems, with applications to DoD platforms, as well as the Space Shuttle and Boeing/Airbus commercial aircraft. While at Rockwell Dr. Provan obtained funding from NASA, the Defense Advanced Research Projects Agency, and the Office of Naval Research.  


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