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Knowledge-based system to support product development focusing on diagnosis of low performance in hermetic compressors

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Abstract

In an industrial context, performance testing analysis is conducted during the final product development phase, such analysis has been carried out by product analysts. Based on a multinational compressor manufacturer expertise, this activity was considered a candidate for a knowledge engineering initiative. This paper presents the development of a knowledge-based system prototype for diagnosis of low performance root causes in hermetic compressors. Diagnosis techniques were implemented to investigate the main compressor performance attributes: cooling capacity, power consumption, minimum starting voltage and noise. This work documents the Knowledge Engineering process. Conclusions demonstrate that this methodology was applied with relevant results for root cause diagnosis of hermetic compressors, which contributes to improve the product development cycle. Moreover, the diagnoses generated by the prototype are updated and aligned with the recommendations of experts from Brazil and China, who validated the prototype results. The prototype contributes to improve fault diagnosis quality and reduces analysis time and cost. Two main outcomes were that the system has been incorporated as part of TechSkill program to train new products analysts and experts from different countries have requested to use system.

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Acknowledgments

To Embraco S/A and its experts, who participated intensely in the validation process: Luiz Eduardo Rosario, Luciano Muller, Laerte Campestrini and Xu Jianwen (from China). To UFSC Post-Graduate program, as this development corresponds to the Master Thesis project of the first author.

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Authors and Affiliations

  1. Embraco S/A., Research and Development, Joinville, SC, 89219-901, Brazil

    Altemir Palmede Pedroso

  2. UFSC-Mechanical Engineering Department, Florianópolis, SC, 88040-900, Brazil

    Jonny Carlos da Silva

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  1. Altemir Palmede Pedroso
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  2. Jonny Carlos da Silva
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Correspondence to Jonny Carlos da Silva.

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Technical Editor: Fernando Antonio Forcellini.

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Pedroso, A.P., da Silva, J.C. Knowledge-based system to support product development focusing on diagnosis of low performance in hermetic compressors. J Braz. Soc. Mech. Sci. Eng. 37, 1731–1742 (2015). https://doi.org/10.1007/s40430-014-0279-z

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  • DOI: https://doi.org/10.1007/s40430-014-0279-z

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