Bibliographic record
Abstract
NOTITLE. THE MESSAGE FROM THE GENERAL CHAIRS It is our great pleasure to welcome all of you to the PHM 2021 Zhengzhou International Conference. In the past few years, this annual conference represented one of the largest gatherings of researchers and professionals to discuss most recent advancements in prognostics and system health management. This year, however, the ongoing COVID-19 pandemic and the resulting travel restrictions in many regions impose unprecedented challenges to the organization of the conference. Instead of meetings fully in person, the Conference Organization Committee has decided to shift the conference to a hybrid mode, with which some authors attended this conference in person while others participated in this conference virtually via a shared Zoom link. We hope this shift in conference mode will not affect your enthusiasm in participating in the conference and discussions. We are pleased to invite two well-known experts in the field to deliver keynote speeches at this conference: Professor Wilson Wang, Professor and University Research Chair in Intelligent Diagnostics and Prognostics of Engineering Systems, Lakehead University, Canada, and his talk is on “Fault diagnosis in gearboxes”; Dr. Yiqiang Chen, Deputy Chief Engineer of National Key Laboratory, China Electronic Product Reliability and Environmental Testing Research Institute, China, and his talk is about “Prognostic and health management technology for electric system based on PoF and data-driven method”. The conference program is also offering three paper oral presentation sessions and one poster session, arranged in the late morning and entire afternoon on October 23. This conference could not be organized without the earnest efforts from all our organization committee members. The conference is also indebted to dozens of volunteers who contributed to the various processes of the conference. It has been a great privilege for both of us to serve as the General Chairs of PHM 2021 Zhengzhou and it is our hope that you find the conference fulfilling and enjoyable. We thank you for your support and wish you a pleasant experience at PHM 2021 Zhengzhou. Sincerely, Rongjie Huang Wenliao Du General Chairs, PHM2021 Zhengzhou International Conference Professors, Zhengzhou University of Light Industry List of KEYNOTE SPEAKERS, CONFERENCE ORGANIZATION COMMITTEE, LIST OF EDITORS are available in this pdf.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.572 | 0.482 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".