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ORCIDDX@Safeprocess 2018: Warsaw, Poland
- Louise Travé-Massuyès, Anna Sztyber:
Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018), Warsaw, Poland, 27-30 August, 2018. CEUR Workshop Proceedings 2289, CEUR-WS.org 2018
Full papers
- Valentin Bouziat, Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès:
Preferential Discrete Model-based Diagnosis for Intermittent and Permanent Faults. - Birgit Hofer, Radu Mateescu, Wendelin Serwe, Franz Wotawa:
Using LNT Formal Descriptions for Model-Based Diagnosis. - Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski:
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. - Mohamed Faouzi Harkat, Tarek Ait Izem, Frédéric Kratz, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou:
Uncertain Dynamic Process Monitoring Using Moving Window PCA for Interval-Valued Data. - Tom Obry, Louise Travé-Massuyès, Audine Subias:
Computer-aided Diagnosis via Hierarchical Density Based Clustering. - Kornel Rostek:
Optimal Sensor Placement Problem for an Electro-pneumatic Actuator. - Christian Artigues, Olivier Bassène, Elodie Chanthery, Asma Gasmi, Louise Travé-Massuyès:
Optimal Test/Sensor Selection Problems Formalized as Integer Programs. - Alexandre Perez, Rui Abreu:
QR-Augmented Spectrum-based Fault Localization. - Ingo Pill, Franz Wotawa:
On Using an I/O Model for Creating an Abductive Diagnosis Model via Combinatorial Exploration, Fault Injection, and Simulation. - Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie:
Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. - Benedikt Eiteneuer, Oliver Niggemann:
LSTM for Model-based Anomaly Detection in Cyber-Physical Systems. - Bouchra Lamrini, Augustin Gjini, Simon Daudin, Pascal Pratmarty, François Armando, Louise Travé-Massuyès:
Anomaly Detection using Similarity-based One-Class SVM for Network Traffic Characterization. - Alexander Diedrich, Oliver Niggemann:
Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. - Vicenç Puig, Erdal Taskent:
Comparison of Two Distributed Fault Diagnosis Approaches based on Binary Integer Linear Programming (BILP) Optimization. - Youssef Youssef, Paul Plöger:
A Non-intrusive Fault Diagnosis System for Robotic Platforms.
Posters
- Mahmoud Almasri, Nicolas Tricot, Roland Lenain:
Multiple Model Adaptive Estimation for Blocked Wheel Fault Detection on Mobile Robots. - Roxane Koitz-Hristov, Franz Wotawa:
On the Superiority of Conflict-Driven Search in MUS Enumeration. - Andreas Nioras, George C. Karras, George K. Fourlas, George I. Stamoulis:
Survey of Fault Diagnosis and Accommodation of Unmanned Underwater Vehicles. - Anna Sztyber, Lukasz Chechlinski, Michal Syfert, Pawel Wnuk, Piotr Lipnicki, Daniel Lewandowski:
Analysis of Applicability of Deep Learning Methods in Compressor Fault Diagnosis. - Lorraine Codjo, Mohamed Jaafar, Hamid Makich, Dominique Knittel, Mohammed Nouari:
Milling Diagnosis Using Machine Learning Techniques Toward Industry 4.0.
Extended abstracts
- Artur Mazdziarz:
Alarm Correlation in Mobile Telecommunication Networks Based on Dice Coefficient. - Patrick Rodler, Manuel Herold:
Reducing Sequential Diagnosis Costs by Modifying Reiter's Hitting Set Tree. - Patrick Rodler, Wolfgang Schmid:
Comparing the Performance of Traditional and Novel Heuristics for Sequential Diagnosis. - Christian Tutivén, Yolanda Vidal, Francesc Pozo:
SCADA Data Based Wind Turbine Fault Diagnosis.
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