The arrival of the intelligent manufacturing and industrial internet era brings more and more opportunities and challenges to modern industry. Specifically, the revolution of the production mode of traditional manufacturing is undergoing thanks to the techniques including but not limited to digits, network, intelligence, and industrial automation fields. As the core link between intelligent manufacturing and industrial internet platform, industrial Big Data analytics has been paid more and more attention by academia and industry. The efficient mining of the high-value information covered under industrial Big Data and the utilization of the real-life industrial process are among the hottest topics at present. Meanwhile, with the advanced development of industrial automation toward knowledge automation, the learning paradigm of industrial Big Data analytics is also evolving accordingly. Therefore, starting from the perspective of industrial Big Data analytics and aiming at the corresponding industrial scenarios, this article actively explores the revolution of the learning paradigm under the background of industrial Big Data: 1) The evolution of the industry Big Data analytics paradigm is analyzed, that is, from isolated learning to lifelong learning, and their relationships are further summarized; 2) Mainstream directions of lifelong learning are listed, and their applications in industrial scenarios are discussed in detail; 3) Prospects and future directions are given.

中文翻译：

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工业大数据分析范式：从进化到革命


智能制造和工业互联网时代的到来，给现代工业带来越来越多的机遇和挑战。具体来说，数字化、网络化、智能化、工业自动化等领域的技术正在对传统制造业的生产方式进行变革。工业大数据分析作为智能制造与工业互联网平台的核心纽带，越来越受到学术界和工业界的重视。工业大数据所涵盖的高价值信息的高效挖掘以及现实工业流程的利用是当前最热门的话题。同时，随着工业自动化向知识自动化的高级发展，工业大数据分析的学习范式也在不断发展。因此，本文从工业大数据分析的角度出发，针对相应的工业场景，积极探索工业大数据背景下学习范式的革命：1）分析工业大数据分析范式的演变，即从孤立学习到终身学习，并进一步总结了它们之间的关系； 2）列出终身学习的主流方向，并详细探讨其在行业场景中的应用； 3）给出了展望和未来的方向。