A New System Supporting the Diagnostics of Electronic Modules Based on an Augmented Reality Solution

Author:

Kowalke Wojciech1,Górecki Krzysztof2ORCID,Ptak Przemysław2ORCID,Cadigan Liam3,Borucki Brian4,Warren Nick3,Ancona Mario5

Affiliation:

1. Flex, Malinowska 28, 83-100 Tczew, Poland

2. Department of Marine Electronics, Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland

3. Cadence, Suite 1100, Cabot Place, 100 New Gower Street, St. John’s, NL A1C 6K3, Canada

4. Cadence, 55 Network Dr, Burlington, MA 01803, USA

5. Flex, Zapopan 45136, Mexico

Abstract

Printed circuit board assembly (PCBA) is a cost-effective hardware device used in mechanical, process, electrical, electronic, military, and medical equipment providing automated and digital functionalities for users. Keeping high quality standards in the PCBA production process is a major challenge for the electronics production industry. Defective PCBAs are submitted to analysis, debug, and repair processes. This paper presents an augmented reality (AR) fault diagnosis support system for assembled electronic systems—the Cadence inspectAR Augmented Reality Electronics Platform. The system’s functional concept and components are described. The steps of the diagnostic process are presented and discussed. The diagnostic capabilities of the system are illustrated with an example of the system’s use in industrial practice. The planned steps in the development of the elaborated system are indicated.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference26 articles.

1. Diagnostyka i naprawy modułów elektronicznych w trakcie procesu produkcyjnego;Kowalke;Przegląd Elektrotechniczny,2021

2. Górecki, K., Kowalke, W., and Ptak, P. (2022). Influence of quality of mounting process of RF transistors on their thermal parameters and lifetime. Appl. Sci., 12.

3. (2024, January 08). IPC Validation Services J-STD-001/IPC-A-610 J-STD-001/IPC-A-610—IPC Validation Services. Available online: https://www.ipc.org/news-release/alternative-manufacturing-inc-earns-qualified-manufacturers-listing-ipc-j-std-001-and.

4. Górecki, K., and Kowalke, W. (2022). Application of statistical methods to analyze the quality of electronic circuits assembly. Appl. Sci., 12.

5. Determining the importance ratings of customer requirements in quality function deployment based on interval linguistic information;Li;Int. J. Prod. Res.,2018

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