Extraction of Principle Knowledge from Process Patents for Manufacturing Process Innovation

详细信息    查看全文

• 作者：Gangfeng Wang^a ; ^b ; ^{wanggf@chd.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; ^{wanggf@mail.nwpu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Xitian Tian^b ; Junhao Geng^b ; Richard Evans^c ; Shengchuang Che^a
• 关键词：Process Innovation ; Knowledge Management ; Knowledge Acquisition ; Patent Mining ; Principle Knowledge
• 刊名：Procedia CIRP
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：56
• 期：Complete
• 页码：193-198
• 全文大小：657 K

文摘

Process patents contain substantial knowledge of the principles behind manufacturing process problems-solving; however, this knowledge is implicit in lengthy texts and cannot be directly reused in innovation design. To effectively support systematic manufacturing process innovation, this paper presents an approach to extracting principle innovation knowledge from process patents. The proposed approach consists of (1) classifying process patents by taking process method, manufacturing object and manufacturing feature as the references; (2) extracting generalized process contradiction parameters and the principles behind solving such process contradictions based on patent mining and technology abstraction of TRIZ (the theory of inventive problem solving); and (3) constructing a domain process contradiction matrix and mapping the relationship between the matrix and the corresponding process patents. Finally, a case study is presented to illustrate the applicability of the proposed approach.