TRACE: A Breadboard-based Electronic Component Tester

Kc Coleen Calixto; Eliana Wendy Cruz; Antonio III Marquez; Edielyn Nase; Lech Walesa Navarra

doi:10.5281/zenodo.19872305

Authors

Kc Coleen Calixto Computer Engineering, Student, Bulacan State University, Philippines.
Eliana Wendy Cruz Computer Engineering, Student, Bulacan State University, Philippines.
Antonio III Marquez Computer Engineering, Student, Bulacan State University, Philippines.
Edielyn Nase Computer Engineering, Student, Bulacan State University, Philippines.
Lech Walesa Navarra Computer Engineering, Faculty, Bulacan State University, Philippines.

DOI:

https://doi.org/10.5281/zenodo.19872305

Keywords:

Breadboard Learning, Component Identification, Real-Time Testing, Fault Detection, Electronics Education

Abstract

Electronic components are essential in circuit design, but beginners often struggle to identify and test them before use. This study presents TRACE, a system designed to identify electronic components, measure their electrical properties, and evaluate their condition in real time. The system was developed using a developmental research approach and can test components such as resistors, capacitors, LEDs, transistors, and basic logic gates. It processes data through a microcontroller and displays results to the user. Results show that TRACE can identify components and measure their values with acceptable accuracy. The system also helps detect faulty or degraded components, making it useful for basic diagnostics. Overall, TRACE provides a simple and efficient tool that helps students and beginners verify components, reduce errors, and improve learning in electronics laboratories.

Downloads

Download data is not yet available.

References

Journal Article

Abdallah, Z. S., et al. (2020). Sensor data quality: A systematic review. Journal of Big Data. https://doi.org/10.1186/s40537-020-00321-0

Di Leo, G., Liguori, C., & Paolillo, A. (2023). Fault detection and diagnosis methods for sensor systems: A scientific literature review. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2023.02.

Islam, M. N., Rahman, M. A., Ashrafi, K. M. A., & Ahmed, T. (2023). Development of an IoT-based industrial fault detection and diagnosis system. Asian Journal for Convergence in Technology. https://scholar.google.com/scholar?q=IoT-based+industrial+fault+detection+and+diagnosis+system

Kumar, A., & Singh, P. (2020). Automatic electronic component identification system. International Journal of Electronics and Communication Engineering. https://scholar.google.com/scholar?q=Automatic+electronic+component+identification+system

Mohan, S., & Kumar, R. (2021). Arduino-based electronic component tester. International Journal of Engineering Research & Technology. https://www.ijert.org/arduino-based-electronic-component-tester

Sharma, S., Gupta, K., Gupta, D., Rani, S., & Dhiman, G. (2023). An insight survey on sensor errors and fault detection techniques in smart spaces. Computer Modeling in Engineering & Sciences. https://doi.org/10.32604/cmes

Book

Floyd, T. L. (2018). Electronic devices (10th ed.). Pearson Education. https://www.pearson.com/en-us/subject-catalog/p/electronic-devices/P200000003282

Horowitz, P., & Hill, W. (2015). The art of electronics (3rd ed.). Cambridge University Press. https://www.cambridge.org/highereducation/books/the-art-of-electronics/

Mano, M. M., & Ciletti, M. D. (2018). Digital design (6th ed.). Pearson Education. https://www.pearson.com/en-us/subject-catalog/p/digital-design/P200000003278

Richey, R. C., & Klein, J. D. (1993). Design and development research: Methods, strategies, and issues. Educational Technology Publications. https://scholar.google.com/scholar?q=Design+and+Development+Research+Richey+Klein+1993

Sedra, A. S., & Smith, K. C. (2020). Microelectronic circuits (8th ed.). Oxford University Press. https://global.oup.com/academic/product/microelectronic-circuits-9780190853464