Dynamic data-driven learning for self-healing avionics

• Published in: Cluster computing Vol. 22; no. Suppl 1; pp. 2187 - 2210
• Main Authors: Imai, Shigeru, Chen, Sida, Zhu, Wennan, Varela, Carlos A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2019; Springer Nature B.V
• Subjects: Aircraft; Airspeed; Algorithms; Angle of attack; Avionics; Case studies; Classifiers; Computer Communication Networks; Computer Science; Data transmission; Declarative programming; Distance learning; Error detection; Failure modes; Machine learning; Operating Systems; Outliers (statistics); Processor Architectures; Programming languages; Sensors; Signatures; Software; Spatiotemporal data; Subject specialists; Spatio-temporal data; Declarative programming; Linear regression; Bayesian statistics; Data streaming

In sensor-based systems, spatio-temporal data streams are often related in non-trivial ways. For example in avionics, while the airspeed that an aircraft attains in cruise phase depends on the weight it carries, it also depends on many other factors such as engine inputs, angle of attack, and air de...