Predictive Maintenance Tool for Non-Intrusive Inspection Systems

面向工业应用中预测性维护与质量检测的联邦学习

Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications

本文在四个不同分布的工业数据集上比较多种FL聚合方法与集中式、本地训练，证明FL在部分场景下可有效替代传统训练，并发布真实质量检测FL数据集。

AI Driven Road Maintenance Inspection

Road infrastructure maintenance inspection is typically a labour-intensive and critical task to ensure the safety of all the road users. In this work, we propose a detailed methodology to use state-of-the-art techniques in artificial intelligence and computer vision to automate a sizeable portion of the maintenance inspection subtasks and reduce the labour costs. The proposed methodology uses state-of-the-art computer vision techniques such as object detection and semantic segmentation to automate inspections on primary road structures such as the road surface, markings, barriers (guardrails) …

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

Determination of inspection and maintenance policies for minimizing long-term risks and costs in deteriorating engineering environments constitutes a complex optimization problem. Major computational challenges include the (i) curse of dimensionality, due to exponential scaling of state/action set cardinalities with the number of components; (ii) curse of history, related to exponentially growing decision-trees with the number of decision-steps; (iii) presence of state uncertainties, induced by inherent environment stochasticity and variability of inspection/monitoring measurements; (iv) prese…

用于现场检查和维护中移动操作的部分观察下语言引导抓取

Language-Guided Grasping under Partial Observation for Mobile Manipulation in Field Inspection and Maintenance

提出用于腿部移动操纵器在部分观察下的语言引导抓取流程，经多步骤处理，在四足机器人上实现并评估，相比基线提高抓取成功率，提升语言引导抓取可靠性。

Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems

Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel machine learning models for intelligent road inspection. The traditional road inspection systems based on the pavement condition index (PCI) are often associated with the critical safety, energy and cost issues. Alternatively, the proposed models utilize surface deflection data from falling weight deflectometer (FWD) tests to predict the PCI. Machine learning methods are the single multi-layer perceptron (MLP) and radial basis fu…

基于人工智能的电动公交车预测性维护

Artificial Intelligence Based Predictive Maintenance for Electric Buses

针对电动公交车传统维护难捕捉CAN Bus多维数据异常的问题，结合统计滤波与社区检测算法开发混合图基特征选择工具，优化多种机器学习模型并实现可解释性，可有效预测车辆告警，支撑主动维护。