6th Intl. Summer School on Diagnosis of Complex Systems

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The Spanish Thematic Network on Supervision and Diagnosis of Complex systems will organize in June 2015 the VI Intl. Summer School on Fault Diagnosis of Complex systems.

Currently, automated diagnosis of devices is an interesting research and development field. It can be approached with different techniques (knowledge-based systems, case-based reasoning, machine-learning or model-based reasoning) coming from different fields:

  • Control Engineering, Artificial Intelligence or Statistics. It is not easy to include several of these techniques in a single course.

This School is an intensive seminar which will take place along 5 days (35 hours) in Segovia, Spain. Its main goal is introducing students to different diagnosis approaches coming from different research communities: Control Engineering, Artificial Intelligence, Statistics… The School is open to PhD/master students and also to industrial practitioners interested in these approaches to diagnosis. Successful applications to fields like electronic circuits, chemical processes, continuous industrial processes, automotive, satellites, software, etc. have been made.

[Information in Spanish]


 

FINAL PROGRAMME:

T1. INTRODUCTION. FUNDAMENTAL CONCEPTS
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
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
T3.1. Fault diagnosis using statistical methods.

T4. MODEL-BASED DIAGNOSIS: THE DX APPROACH
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 PROCESS MODELS.
T5.1. Introduction to business processes: imperative and declarative languages
T5.2. Model-based diagnosis applied to BP
T5.3. Prognosis for robust business process models

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

T7. MODEL-BASED DIAGNOSIS WITH PROBABILISTIC MODELS
T7.1 Probabilistic reasoning fundamentals.
T7.2 Model-based diagnosis with probabilistic models.

T8. BRIDGE: INTEGRATION OF FDI AND DX APPROACHES
T8.1 Theoretical links and comparison.
T8.2 Practical comparison and potential synergies.

Location: The sixth edition will take place in June, 22nd to 26th, 2015 in the city of Segovia, Spain, a UNESCO World Heritage Site since 1985.
The teaching will take place at the School of Informatics, in the Universidad de Valladolid new Campus Maria Zambrano buildings.

Accommodation: The Factory Residence Hall. Address: C/ Los Vargas nº17 40003 – Segovia. Booking: reservas@factoryresidence.com

Web:http://www.factoryresidence.com/default.aspx

Organizing committee: Anibal Bregón, Belarmino Pulido and Carlos Alonso (Departamento de Informática, Universidad de Valladolid)
anibal@infor.uva.es, belar@infor.uva.es, calonso@infor.uva.es

Special Guests: Louise Trave-Massuyes (LAAS-CNRS, France), Jose Celaya (SGT Inc. – NASA Ames, USA) and Gregory Provan (University College Cork, Ireland)

Academic Staff: C. Alonso (U. Valladolid), J. Armengol (U. Girona), A. Bregon (U. Valladolid), M.J. de la Fuente (U. Valladolid), R.M. Gasca (U. Sevilla), M. Teresa Gomez (U. Sevilla), J. Melendez (U. Girona), V. Puig (UPC), B. Pulido (U. Valladolid), C. del Valle(U. Sevilla)

Registration: Early bird registration 360 euros (before April, 30th, 2015). Details: https://formacion.funge.uva.es/cursos/vi-summer-school-fault-diagnosis-complex-systems/
Further Details: http://www.lsi.us.es/~rdiag/index.php/Escuela2015uk/HomePage

 

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