GREEN REMANUFACTURING EVALUATION MECHANISM BASED ON FAULT DIAGNOSIS OF ELECTRIC SPINDLE FROM THE PERSPECTIVE OF ENVIRONMENTAL PROTECTION

摘要

Scrap cars and their disassembled parts contain a variety of heavy metals, chemical liquids, plastics and other substances. If they are not handled properly,they will cause serious air, water and soil pollution, and huge waste of energy and resources, which will affect Sustainable development of soci-ety. In order to build a resource-saving and environ-ment-friendly society, the automobile,aerospace and other industries have proposed the development di-rection of realizing parts remanufacturing, green manufacturing, and intelligent manufacturing. Ef-fectively evaluate the remanufacturability of electric spindle products, which can support the formation of green redesign and remanufacturing schemes for electric spindle products. Combined with the five de-cision attributes of green manufacturing technology, quality, economy, resources and environment. This paper first uses wavelet packet decomposition and reconstruction algorithm to remove the noise in the non-linear and unstable signal, and uses empirical mode analysis to extract the eigenvalues in the sig-nal; Secondly, the time domain and frequency do-main features in the extracted signal are used as in-put, and the BP neural network fault diagnosis model is used to verify the effectiveness of the system al-gorithm;Then from the five perspectives of reman-ufacturing capability, remanufacturing quality, re-manufacturing time, remanufacturing environmental impact,and remanufacturing cost, the comprehen-sive influencing factors of electric spindle remanu-facturing are extracted and the evaluation index sys-tem is constructed. Finally,the experiment shows that when the remanufacturability of the electric spindle is λ=0.721，that is， the electric spindle has a higher remanufacturing degree and can obtain a bet-ter comprehensive effect of remanufacturing.