In this article, several classical PHM surveys and reviews central to nowadays mechanical engineering are studied, ranging from typical PHM frameworks, practical PHM solutions, to concrete PHM approaches.

2023年4月3日 · phm技术是一种基于数据分析的技术，可以对机器设备的运行状态进行实时监控和预测，以实现对设备的健康状况进行有效管理。通过phm技术，我们可以及时发现设备故障，提高设备的可靠性和运行效率，最大限度地降低设备故障率和维修成本。

The PHM Society is founded on three basic principles: To provide free and unrestricted access to PHM knowledge; To promote interdisciplinary and international collaboration in PHM; To lead the advancement of PHM as an engineering discipline; Here’s a portal to summarize some PHM standards resources for you and to make connections easy.

Prognostics and Health Management is an advancing field that is finding broader and broader uses to monitor and to provide early indications of pending system failure. An example of this broader acceptance and appeal was a segment of the TV program, Wired Science, focusing on structural monitoring.

2024年11月28日 · 近日，《Mechanical System and Signal Processing》（MSSP）在线发表刊登北航 PHM 团队最新研究成果：基于大语言模型的轴承故障诊断框架（LLM-based Framework for Bearing Fault Diagnosis）。 这是北航 PHM 实验室在 健康管理大模型 领域的成功尝试，研究团队提出了 基于大语言模型的轴承故障诊断框架，提升预训练大模型对振动数据的解析与泛化能力。 以轴承为例，他们探索并打通了基于 预训练大语言模型解决泛化故障诊断难题 的技术路线， …

2024年7月23日 · Prognostics and health management (PHM), an increasingly important framework for realizing condition awareness and intelligent maintenance of mechanical equipment by analyzing collected monitoring data, is being applied in a growing spectrum of industries, such as aerospace (Randall 2021), transportation (Li et al. 2023a), and wind turbines ...

2014年1月1日 · The paper discusses PHM as a principle that includes health assessment, prediction and management. The research provides a comprehensive overview of PHM tools for critical machinery components. The paper also reviews common issues, failure modes, characteristics, data types and features.

什么是phm？ phm是综合利用现代信息技术、人工智能技术的最新研究成果而提出的一种全新的管理健康状态的解决方案。是从工程领域提炼，并且不断系统化、体系化的一门系统工程学科，聚焦于复杂工程健康状态的监测、预测和管理。 phm的发展历程

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2024年9月12日 · (1)借助大数据云平台，可以实现在线、远程电池phm。将电池phm与物联网(iot)相结合，将实现电池phm系统的网络化和智能化。 (2)混合预测方法和基于物理信息的数据驱动方法具有较强的鲁棒性和通用性，将在未来电池phm中发挥重要作用。