期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：4
页码：739-743
DOI：10.35629/5252-0404486492
语种：English
出版社：IJAEM JOURNAL
摘要：When any product or material is about for production it must fulfil the requirements of the client. To satisfy the demand or request of a client, the team manufacturing the material must be conscious of the quality. As every industry or company like how significant the production and manufacturing is equivalent to the importance of the quality. The nature of the product is given for numerous examinations and after several tests, the product is obtained at last. Then the rigour of the error during the quality inspection is also analyzed. So the analysis of the fault can help diagnose the fault and give out the products with the best quality. To serve the company to develop in a good standard the fault can be identified and diagnosed in the right way to implement the good quality of product and satisfying the client requirement. Therefore we are using a voting classifier algorithm in ensemble learning that helps in characterizing the severity of the fault to bypass the mass quality less production that becomes an enormous decline for the company. Depending upon the output, the company decides to advance with the process.
