SYSTOL 2016

  • Increase font size
  • Default font size
  • Decrease font size

Organizers:

Research Center for Supervision, Safety and Automatic Control UPC Promotor:
Spanish Fault Diagnosis Network Supported by: UPC Universidad de Valladolid Universidad de Girona Universidad de Sevilla

School Program

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. 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 consistency tests, and envelope generators.
T2.4. Fault isolation: structured and directional residuals.

T3. THE DX APPROACH
T3.1. Model-based diagnosis from AI community. Consistency-based diagnosis. CBD: Theoretical (Reiter's) approach.
T3.2. GDE: the computational approach to CBD.
T3.3. Diagnosing multiple faults with qualitative models.
T3.4. Constraint-driven fault diagnosis.
T3.5. Business process modelling for diagnosis.

T4. PROGNOSIS
T4.1. Introduction to Prognostics.  concepts. Fundamental concepts.
T4.2. Electronics PHM.

T5. BRIDGE: INTEGRATION OF FDI AND DX APPROACHES
T5.1 Theoretical links and comparison.
T5.2 Practical comparison and potential synergies.

T6. STATISTICAL METHODS TO FDI
T6.1 Fault diagnosis using statistical methods.

T7. SOFTWARE FAULT DIAGNOSIS

T8. DISCRETE EVENT SYSTEMS
T8.1. Discrete event systems (DES).
T8.2. Diagnosis of DES.
T8.3. Diagnosability of DES.
T8.4. Building DES: discretising hybrid systems into DES.