Prof. Dr.-Ing. Kay Smarsly, Professor of Computing in Civil Engineering Bauhaus University Weimar, Germany FAULT DIAGNOSIS OF WIRELESS STRUCTURAL HEALTH MONITORING SYSTEMS BASED ON ONLINE LEARNING NEURAL APPROXIMATORS ДИАГНОСТИКА НЕИСПРАВНОСТЕЙ БЕСПРОВОДНЫХ СИСТЕМ

The accuracy and the reliability of wireless structural health monitoring systems can be significantly affected by faults of the wireless sensor nodes. This paper presents an online learning approach that enables wireless SHM systems to accurately and reliably self-diagnose sensor faults. As a result, inaccurate or missing sensor data required for structural assessment and life-cycle management of the monitored structures can largely be avoided.

[1]  K. H. Law,et al.  TOWARDS LIFE-CYCLE MANAGEMENT OF WIND TURBINES BASED ON STRUCTURAL HEALTH MONITORING , 2012 .

[2]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[3]  Kay Smarsly,et al.  Decentralized fault detection and isolation in wireless structural health monitoring systems using analytical redundancy , 2014, Adv. Eng. Softw..

[4]  Kay Smarsly,et al.  A Decentralized Approach towards Autonomous Fault Detection in Wireless Structural Health Monitoring Systems , 2014 .

[5]  Jie Chen,et al.  Fault diagnosis in nonlinear dynamic systems via neural networks , 1994 .

[6]  K. SMARSLY,et al.  Coupling Sensor-Based Structural Health Monitoring with Finite Element Model Updating for Probabilistic Lifetime Estimation of Wind Energy Converter Structures , 2011 .

[7]  Ron J. Patton,et al.  Fault detection and diagnosis in aerospace systems using analytical redundancy , 1991 .

[8]  Kay Smarsly,et al.  Implementing a Multiagent-Based Self-Managing Structural Health Monitoring System on a Wind Turbine , 2011 .

[9]  Kay Smarsly,et al.  Multiagent-Based Collaborative Framework for a Self-Managing Structural Health Monitoring System , 2012, J. Comput. Civ. Eng..

[10]  Kay Smarsly,et al.  Implementation of a Multiagent-based Paradigm for Decentralized Real-time Structural Health Monitoring , 2011 .

[11]  Giampiero Campa,et al.  On‐line learning neural networks for sensor validation for the flight control system of a B777 research scale model , 2002 .

[12]  Kay Smarsly,et al.  An integrated monitoring system for life-cycle management of wind turbines , 2013 .