Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings

开发可靠的健康监测和寿命预测（PHM）系统一直是各种事业的重点，在涉及旋转机械的广泛行业中，以防止机器加速性能下降，意外故障或灾难性故障。大多数机器故障与涉及轴承的机械传动系统有关。例如，风力涡轮机中超过75%的齿轮箱故障归因于轴承磨损或损坏。轴承经常在恶劣的环境中运行，承受着可变的、有时是意外的载荷，导致它们在不同的故障模式下退化。这些故障不仅会导致系统性能下降，还可能导致系统故障、设备损坏，造成重大的经济损失。通过与渥太华公司Gastops Ltd.的合作，拟议研究的目标是开发一种新型轴承PHM系统，用于使用多源数据可靠地估计工业环境中轴承当前和未来的健康状况。提出的轴承PHM系统将提供故障预警，实现预测性维护，并提高系统可靠性。其目标是帮助加拿大制造业、航空航天和能源部门提高资产利用率，并在全球市场上保持竞争力。

The development of reliable health monitoring and life prognostics (PHM) systems has been the focus of various undertakings, in a wide array of industries involving rotary machinery, to prevent machine accelerated performance degradation, unexpected malfunction, or catastrophic failures. Most machine failures are related to mechanical transmission systems involving bearings. For instance, over 75% of gearbox failures in wind turbines have been attributed to worn or damaged bearings. Bearings often operate in harsh environments under variable and sometimes unexpected loads, leading to their degradation under different fault modes. These faults may not only deteriorate the system performance but may also lead to system failures with equipment damage, resulting in significant economic losses. Through collaboration with Gastops Ltd., an Ottawa-based company, the objective of the proposed research is to develop a novel bearing PHM system for reliable estimation of current and future health conditions of bearings in industrial environment using multi-source data. The proposed bearing PHM system will provide advance warning of failure, enable predictive maintenance, and improve system reliability. The goal is to help the Canadian manufacturing, aerospace, and energy sectors improve asset utilization and remain competitive in the global market.