Patents by Inventor LAHOUARI CHEDED
LAHOUARI CHEDED has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 10345354Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: GrantFiled: July 30, 2018Date of Patent: July 9, 2019Assignee: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Patent number: 10338123Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: GrantFiled: July 30, 2018Date of Patent: July 2, 2019Assignee: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Publication number: 20190011490Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: ApplicationFiled: July 30, 2018Publication date: January 10, 2019Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALSInventors: Lahouari Cheded, Rajamani Doraiswami
-
Publication number: 20180364289Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: ApplicationFiled: July 30, 2018Publication date: December 20, 2018Applicant: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Patent number: 10067174Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: GrantFiled: February 5, 2018Date of Patent: September 4, 2018Assignee: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Publication number: 20180156856Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: ApplicationFiled: February 5, 2018Publication date: June 7, 2018Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALSInventors: Lahouari CHEDED, Rajamani Doraiswami
-
Patent number: 9933473Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: GrantFiled: April 24, 2015Date of Patent: April 3, 2018Assignee: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Patent number: 9582618Abstract: An apparatus and associated methodology that monitors a system. The method determines scheduling parameters of a system. The system includes a plurality of subsystems. The method determines diagnostic parameters of the system and generates a linear parameter varying (LPV) model. The LPV model relates an input, the diagnostic parameters, and the scheduling parameters to an output. In addition, the method monitors each of the plurality of subsystems as a function of the LPV model.Type: GrantFiled: January 19, 2016Date of Patent: February 28, 2017Assignee: King Fahd University of Petroleum and MineralsInventors: Rajamani Doraiswami, Lahouari Cheded
-
Publication number: 20150338449Abstract: Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.Type: ApplicationFiled: April 24, 2015Publication date: November 26, 2015Applicant: King Fahd University of Petroleum and MineralsInventors: Lahouari CHEDED, Rajamani DORAISWAMI
-
Patent number: 9002678Abstract: A unified method to detection and isolation of parametric faults in a physical system resulting from variations in the parameters of its constituting subsystems, termed herein as diagnostic parameters, uses Kalman filter residuals. Rather than using the feature vector made of the coefficients of the numerator and denominator of the system transfer function, which is known to be a non-linear function of the diagnostic parameter variations, the method first shows and then exploits, for fault detection purposes, the fact that the Kalman filter residual is a multi-linear function of the deviations in the diagnostic parameters, i.e. the residual is separately linear in each parameter. A fault is then isolated using a Bayesian multiple composite hypotheses testing approach. A reliable map relating the diagnostic parameters to the residual is obtained off-line using fault emulators.Type: GrantFiled: January 10, 2014Date of Patent: April 7, 2015Assignee: King Fahd University of Petroleum and MineralsInventors: Lahouari Cheded, Rajamani Doraiswami
-
Publication number: 20120257668Abstract: The time-varying least-mean-fourth-based channel equalization method is an automated procedure that provides an adaptive equalizer in a CDMA receiver. Equalizer filter coefficients are estimated using a least-mean-fourth (LMF) error calculation based on a training set of symbols sent by the transmitter. When the LMF error calculation is combined with a power-of-two quantization (PTQ) process, superior receiver performance is achieved in a time-varying CDMA channel operating in non-Gaussian noise environments.Type: ApplicationFiled: April 11, 2011Publication date: October 11, 2012Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALSInventors: AZZEDINE ZERGUINE, LAHOUARI CHEDED, MUSA U. OTARU