Intelligent sensing: Neural network based health diagnosis for sensor arrays

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Volumn 1, Issue , 2003, Pages 360-365

  Gaura, E ^a   Newman, R M ^a  

^a Faculty of Engineering and Computing   (United Kingdom)

Author keywords

Artificial intelligence; Artificial neural networks; Fault detection; Fault diagnosis; Intelligent networks; Intelligent sensors; Monitoring; Neural networks; Sensor arrays; Sensor systems

Indexed keywords

ARTIFICIAL INTELLIGENCE; FAILURE ANALYSIS; INTELLIGENT MECHATRONICS; INTELLIGENT NETWORKS; INTELLIGENT SYSTEMS; MONITORING; NEURAL NETWORKS; SENSOR ARRAYS;

HEALTH DIAGNOSIS; HEALTH MONITORING; INTELLIGENT SENSING; INTELLIGENT SENSORS; LEARNING ABILITIES; MICROMACHINED ACCELEROMETERS; SENSOR COMMUNICATION; SENSOR SYSTEMS;

FAULT DETECTION;

EID: 84943620540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIM.2003.1225122     Document Type: Conference Paper

References (4)

1. Gaura, E. Neural Network Techniques for the Control and Identification of Acceleration Sensors. PhD Thesis, Coventry Univ., UK, 2000
2. NASA TechTracS. System Fault Detection and Accommodation, Technology Opportunity Sheet, http://technology.larc.nasa.gov/scripts/nls-ax.dll/twDispTOPSItem(111;TOP3-2;0;1), 2000
3. Patton, R., Uppal, F., Lopez-Toribio, C. Soft computing approaches to fault diagnosis for dynamic systems: a survey, IFAC Safeprocess, Hungary, Proceedings, pp. 298-311, 2000.
4. Henry, M.P. Validating data from smart sensors, J. of Control Engineering, vo.41, no.9, pp. 63-66, 1994