2016
DOI: 10.1007/978-981-10-2338-5_36
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Multi-sensor Fault Diagnosis of Aircraft Engine Based on Kalman Filter Group

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Cited by 2 publications
(3 citation statements)
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“…Based on Lemma 4, comparing the error system shown in equation (8) with the second order system shown in equation (4), the following can be obtained:…”
Section: Determine Its Optimal Value Functionmentioning
confidence: 99%
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“…Based on Lemma 4, comparing the error system shown in equation (8) with the second order system shown in equation (4), the following can be obtained:…”
Section: Determine Its Optimal Value Functionmentioning
confidence: 99%
“…For the application of UAV flight control system, modelbased fault detection, isolation, and adjustment methods can be used to reconstruct low redundancy/no redundancy signals for sensor faults, and the fault tolerance problem of sensor signals can be solved by means of analytical redundancy, as discussed elsewhere [7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Practically, a bank of Kalman filters is used to achieve sensor and actuator fault detection applied to a steady-state system, while the statistical characteristics of the system are not required to be known after a fault has occurred [3,4]. In these methods, the faults are assumed to be known, and the Kalman filters are designed for such kind of sensor or actuator faults.…”
Section: Introductionmentioning
confidence: 99%