title: Research on a Defects Detection Method in the Ferrite Phase Shifter Cementing Process Based on a Multi-Sensor Prognostic and Health Management (PHM) System.
abstract: The cementing manufacturing process of ferrite phase shifters has the defect that cementing strength is insufficient and fractures always appear. A detection method of these defects was studied utilizing the multi-sensors Prognostic and Health Management (PHM) theory. Aiming at these process defects, the reasons that lead to defects are analyzed in this paper. In the meanwhile, the key process parameters were determined and Differential Scanning Calorimetry (DSC) tests during the cure process of resin cementing were carried out. At the same time, in order to get data on changing cementing strength, multiple-group cementing process tests of different key process parameters were designed and conducted. A relational model of cementing strength and cure temperature, time and pressure was established, by combining data of DSC and process tests as well as based on the Avrami formula. Through sensitivity analysis for three process parameters, the on-line detection decision criterion and the process parameters which have obvious impact on cementing strength were determined. A PHM system with multiple temperature and pressure sensors was established on this basis, and then, on-line detection, diagnosis and control for ferrite phase shifter cementing process defects were realized. It was verified by subsequent process that the on-line detection system improved the reliability of the ferrite phase shifter cementing process and reduced the incidence of insufficient cementing strength defects.
authors: School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. wanbo@buaa.edu.cn.
authors: Bo
authors: B
authors: Wan
authors: School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. fuguicui@buaa.edu.cn.
authors: Guicui
authors: G
authors: Fu
authors: School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China. 15652928449@163.com.
authors: Yanruoyue
authors: Y
authors: Li
authors: Dipartimento di Energia, Politecnico di Milano, Milano 20133, Italy. zyhdbh@sina.com.
authors: Youhu
authors: Y
authors: Zhao
keywords: cementing strength; multi-sensor; prognostic and health management