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Detection & isolation of sensor and actuator additive faults in a 4-mecanum wheeled mobile robot (4-MWMR).

, , , , and . ICCAD, page 1-6. IEEE, (2019)

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A Comparative Evaluation of Deep Learning Anomaly Detection Techniques on Semiconductor Multivariate Time Series Data., , , and . CASE, page 1613-1620. IEEE, (2021)On fault detection and isolation applied on unicycle mobile robot sensors and actuators., , , , and . ICSC, page 148-153. IEEE, (2018)Detection & isolation of sensor and actuator additive faults in a 4-mecanum wheeled mobile robot (4-MWMR)., , , , and . ICCAD, page 1-6. IEEE, (2019)1D ResNet for Fault Detection and Classification on Sensor Data in Semiconductor Manufacturing., , , , , and . ICCAD, page 1-6. IEEE, (2022)Actuator Health State Monitoring & Degradation Impact Study on a 4-Mecanum Wheeled Mobile Robot Behaviour., , , , and . MED, page 1076-1081. IEEE, (2021)Run To Run control based on categorical output in semiconductor manufacturing., , , and . ICSC, page 180-185. IEEE, (2016)Monitoring of a sampled process data under Run-to-Run control: application to a semiconductor process., , , , and . CASE, page 930-935. IEEE, (2019)A Bayesian indicator for Run-to-Run Performance Assessment using Industrail Risk., , , , and . WSC, page 3592-3602. IEEE, (2018)Self-tuning of dEWMA controller parameters for mixed product processes with equipment aging., , , and . MED, page 1373-1378. IEEE, (2016)Fault Detection on Variable Length Multivariate Time Series from Semiconductor Manufacturing., , , and . SENSORS, page 1-4. IEEE, (2023)