+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Research on a Defects Detection Method in the Ferrite Phase Shifter Cementing Process Based on a Multi-Sensor Prognostic and Health Management (PHM) System



Research on a Defects Detection Method in the Ferrite Phase Shifter Cementing Process Based on a Multi-Sensor Prognostic and Health Management (PHM) System



Sensors 16(8):



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.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 058750460

Download citation: RISBibTeXText

PMID: 27517935

DOI: 10.3390/s16081263


Related references

Flexible 3D reconstruction method based on phase-matching in multi-sensor system. Optics Express 24(7): 7299-7318, 2016

Real-time process control for a sensor based fertilizer application system based on multi-sensor data fusion. Landtechnik 62(Sonderheft): 288-289, 2007

A novel high power X-band ferrite phase shifter. Review of Scientific Instruments 88(1): 014705, 2017

Phase-shifter calibration and error detection in phase-shifting applications: a new method. Applied Optics 37(32): 7624-7631, 1998

Application of Microwave Ferrite Phase Shifter for Wireless Communication. Journal of Electromagnetic Waves 19(12): 1655-1670, 2005

Multi-sensor fusion approach with fault detection and exclusion based on the KullbackLeibler Divergence: Application on collaborative multi-robot system. Information Fusion 37: 61-76, 2017

Accelerometer sensor module and fall detection monitoring system based on wireless sensor network for e-health applications. Telemedicine Journal and E-Health 14(6): 587-592, 2008

Research on Lane a Compensation Method Based on Multi-Sensor Fusion. Sensors 19(7):, 2019

Operation of the Phase Shifter Using Complex Waves of the Circular Waveguide With Periodical Ferrite-Dielectric Filling. Journal of Electromagnetic Waves 25(7): 935-947, 2011

A novel stumpage detection method for forest harvesting based on multi-sensor fusion. Signal Image and Video Processing 9(8): 1843-1850, 2015

A method based on multi-sensor data fusion for fault detection of planetary gearboxes. Sensors 12(2): 2005-2017, 2012

Microcontroller-based multi-sensor system for online crop/weed detection. 1999 Brighton crop protection conference: weeds Proceedings of an international conference, Brighton, UK, 15-18 November 1999 (Volume 2): 601-606, 1999

An IOT-based Multi-sensor Ecological Shared Farmland Management System. International Journal of Online Engineering 14(3): 81-95, 2018

Sensor-based auto-focusing system using multi-scale feature extraction and phase correlation matching. Sensors 15(3): 5747-5762, 2015

A wearable sensor based multi-criteria-decision-system for real-time seizure detection. Conference Proceedings 2017: 2377-2380, 2017