Results 211 to 220 of about 13,671 (263)

Fault Detection and Identification for Fire and Explosion Detection

2017 21st International Conference on Control Systems and Computer Science (CSCS), 2017
A real – time fire and explosion detection system is presented in this paper. The data being used was acquired by a Wireless Sensor Network, residing in a room. Noise is first rejected from the acquired samples, using an appropriate filter. Next, a model of the stochastic process is computed in real time using a robust – adaptive method.
Lavinius Ioan Gliga, Houcine Chafouk, Dumitru Popescu, Ciprian Lupu   +3 more
openaire   +1 more source

Scalable robot fault detection and identification

Robotics and Autonomous Systems, 2006
Abstract Experience has shown that even carefully designed and tested robots may encounter anomalous situations. It is therefore important for robots to monitor their state so that anomalous situations may be detected in a timely manner. Robot fault diagnosis typically requires tracking a very large number of possible faults in complex non-linear ...
Vandi Verma, Reid G. Simmons
openaire   +1 more source

Fault detection and identification using FIRFMS

International Journal of General Systems, 2007
This paper deals with two of the main tasks of fault monitoring systems (FMS): fault detection and fault identification. During fault detection, the FMS should recognize that the plant behavior is abnormal, and therefore, that the plant is not working properly. During fault identification, the FMS should conclude which type of failure has occurred. The
Antoni Escobet, Àngela Nebot, François E. Cellier   +2 more
openaire   +2 more sources

Nonlinear Multiscale Fault Detection and Identification

IFAC Proceedings Volumes, 2006
Abstract A nonlinear multiscale multivariate statistical process control method is proposed to address fault detection and diagnosis issues at different scales in nonlinear processes. A kernel principal component analysis (KPCA) model is built with the reconstructed data obtained by performing wavelet transform and inverse wavelet transform ...
Sang Wook Choi, Elaine B. Martin, Julian Morris, In-Beum Lee   +3 more
openaire   +1 more source

Fault detection: a subspace identification approach

Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002
Some results on the analysis of the fault detection problem in a subspace identification framework are presented and two approaches are proposed, exploiting an existing perturbation analysis of subspace methods.
LOVERA, MARCO, PARISINI, THOMAS, M. Verhaegen   +2 more
openaire   +4 more sources

Identification for fault detection in an industrial condenser

Control Engineering Practice, 1997
Abstract The condenser of a batch distillation column, equipped with temperature and flow sensors, is considered. The aim of the paper is to build a system which is able to detect flow sensor failures occurring in a batch. Three methods are considered For all of them, the first step consists of the parameter identification of a grey box model.
Bogaerts, Philippe, Cuvelier, Alix, Kinnaert, Michel   +2 more
openaire   +2 more sources

Fault detection and identification for robot manipulators

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004
Several factors must be considered for robotic task execution in the presence of a fault, including: detection, identification, and accommodation for the fault. In this paper, a prediction error based dead-zone residual function and nonlinear observers are used to detect and identify a class of actuator faults.
Michael L. McIntyre, Warren E. Dixon, Darren M. Dawson, Ian D. Walker   +3 more
openaire   +2 more sources

Advances in Identification and Fault Detection in Bridge Structures

Key Engineering Materials, 2003
The paper presents some results obtained via the eigen-sensitivity up-dating procedure applied to two different kind of bridges, the former being the well known Z24 bridge, the latter consisting of a railway masonry arch bridge crossing the Tanaro river, in the Northern of Italy.
BONISOLI, Elvio, FASANA, ALESSANDRO, GARIBALDI, Luigi, MARCHESIELLO, STEFANO, SABIA, Donato   +4 more
openaire   +2 more sources

A Data-driven Approach for Identification and Detection of Intermittent Faults

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021
The main focus of this paper is to analyze and design the data-driven fault detection (FD) approach for systems with intermittent faults (IFs). To this end, the systems with IFs are modeled by switched systems first, then based on this framework, the schemes of the design are proposed for a stochastic process is proposed, and the data-driven method is ...
Na, Yuhong, Peng, Shichen
openaire   +1 more source

Fault Detection and Identification in Fermenters

IFAC Proceedings Volumes, 1992
Abstract This paper outlines a method for detection and analysis of abnormal fermenter operation for small scale fermenters, such as those typically used for strain development work. The work was based on the desire to further improve the operability of fermenters used in the strain improvement effort of the project’s sponsors.
F.W. Roche, N.F. Thornhill, K.M. Stone, S.W. Carleysmith   +3 more
openaire   +1 more source