Hyper-Heuristic Capacitance Array Method for Multi-Metal Wear Debris Detection.

ABSTRACT: Online detection of fatigued wear debris in the lubricants of aero-engines can provide warning of engine failure during flight, thus having great economic and social benefits. In this paper, we propose a capacitance array sensor and a hyper-heuristic partial differential equation (PDE) inversion method for detecting multiple micro-scale metal debris, combined with self-adaptive cellular genetic (SA-CGA) and morphological algorithms. Firstly, different from the traditional methods, which are limited in multi-induction-Dirac-boundary-inversion, a mathematical model with non-local boundary conditions is established. Furthermore, a hyper-heuristic method based on prior knowledge is also proposed to extract the wear character. Moreover, a 12-plate array circulating sensor and corresponding dete

SUBMITTER: Sun Y 

PROVIDER: S-EPMC6387040 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature