Actuator Simulation of the DAMADICS Benchmark Actuator System

Diagnosability Analysis Based on Component Supported Analytical Redundancy Relations

“…The set of variables V can be partitioned as V=X∪O, where O is the set of observed (measured) variables and X is the set of unknown variables 1 . Then, the structural approach of [3] is based on determining a complete matching M between E and X in the bipartite graph G. A matching on a graph G is a set of edges of G such that no two of them share a vertex in common.…”

Fault Detection and Diagnosis in the DAMADICS Benchmark Actuator System – A Hidden Markov Model Approach

“…The case study is the DAMADICS benchmark (acronym for Development and Applications of Methods for Actuator Diagnosis in Industrial Control Systems) (Syfert et al, 2003;Bartys and de las Heras, 2003). Its purpose is the development of fault detection and isolation methods for final control elements in the industry environment.…”

“…Thus, this work investigates the performance of the hidden Markov model approach on accomplishing chemical process monitoring tasks. The case study is based on the DAMADICS actuator system, a control engineering benchmark (Syfert et al, 2003;Bartys and de las Heras, 2003). Studies concerning applications of HMMs on chemical process monitoring are those by Almeida and Park (2005), Tokatli and Cinar (2004), Yangsheng and Ming (2004), Sun et al, (2003), Chen and Chang (2000), Wong et al, (2001Wong et al, ( , 1998, Bakhtazad et al (2000).…”

A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test

“…The faults are emulated under carefully monitored conditions, keeping the process operation within acceptable quality limits. This actuator is used in the evaporation station of a sugar factory in Poland (Bartys´and de las Heras, 2003). The smart actuator consists of a control valve, a pneumatic servomotor and a smart positioner (Fig.…”