---
name: journal-arxiv-ai-uncertainty-aware-functional-20260607
description: >
  学术期刊学习笔记：arXiv AI - Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment
  蒙多每日期刊学习系统自动提取。
version: 1.0.0
author: mundo-journal-bot
priority: LOW
auto_activate: MANUAL
category: journal-learnings
source: arXiv AI
published: Sat, 06 Jun 2026 00:00:00 -0400
learned: 2026-06-07
---
# Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory

**来源**: [arXiv AI](https://arxiv.org/abs/2606.05334)
**学习日期**: 2026-06-07

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## 摘要

arXiv:2606.05334v1 Announce Type: new Abstract: Returned products in circular factories re-enter production with heterogeneous degradation states, usage histories, and remaining capability. Reuse cannot be decided from the current inspection alone, because future function fulfillment and component integrity may evolve differently under the next service scenario. Existing PHM approaches support degradation prediction, but often target fixed operating conditions or isolated component benchmarks, w

## 关键发现

1. 05334v1 Announce Type: new Abstract: Returned products in circular factories re-enter production with heterogeneous degradation states, usage histories, and remaining capability

## 蒙多笔记

> 蒙多从此文中学到：Uncertainty Aware Functional Behavior Prediction a...
> 此知识已纳入蒙多的学术知识库。

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