Fault diagnosis method for aircraft airspeed tube based on neural network analysis and redundancy
A neural network and fault diagnosis technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve problems such as easy failures, and achieve the effect of improving timeliness and simple methods
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[0036] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.
[0037] aircraft airspeed tube figure 1 shown. figure 2 Shown is the form of the method disclosed in the present invention in actual use, and we describe in detail the health monitoring of pitot tubes in large aircraft and the fault detection and diagnosis technology disclosed in the present invention. Such as image 3 As shown, the present invention is a pitot fault detection and diagnosis technology based on neural network analysis redundancy, comprising the following steps:
[0038] Step 1: Determine the 3 common failure modes of the aircraft pitot, and determine the mathematical expression of each failure mode. In this step, through the analysis of pitot input and output data and daily failure mode research, three common failure modes of pitot are deter...
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