Nowadays, the study of predictive algorithms pervades all fields. With the fast development of machine learning, many sophisticated algorithms are developed based on systems with rich datasets. However, in the realm of reliability engineering, adopting the predictive algorithm for maintenance is still a challenging problem. It is mainly because of the following five complications:
Facing the five challenges, can existing success in the predictive algorithm and machine learning algorithm be transferred, customized, and sharpened for resolving the abovementioned complications and bring formidable value for practical systems? Is predictive maintenance a silver bullet that solves all reliability problems, or it is beneficial for limited cases. If so, under which scenarios should we upgrade our sensing system and employ predictive maintenance. Could the initial investment on the enabling ICT technique, be offset by applying the predicting algorithm?
This workshop aims to build up a platform for bringing together researchers and practitioners to synthesize the answer to these questions. All papers that are related is welcomed.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at https://qrs20.techconf.org/submission.
The length of a camera ready paper will be limited to eight pages, including the title of the paper, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.
Authors must follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare their papers. At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the workshop. Arrangements are being made to publish selected accepted papers in reputable journals. Submissions must be in PDF format and uploaded to the conference submission site.Submission
|Bin Liu||University of Strathclyde|
|Yiliu Liu||Norwegian University of Science and Technology|
|Huixing Meng||Tsinghua University|
|Rui Peng||Beijing University of Technology|
|Hui Xiao||Southwestern University of Finance and Economics|
|Xiujie Zhao||Tianjin University|