SBIR Phase I: Non-invasive Vibro-Acoustic Diagnostic and Prognostic System

SBIR 第一阶段：非侵入性振动声学诊断和预测系统

• 批准号: 0839375
• 负责人: Manmohan Moondra
• 金额: --
• 依托单位: SenSound, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0839375&HistoricalAwards=false
• 关键词: SBIR; Phase; Non; invasive; Vibro

This Small Business Innovation Research (SBIR) Phase I project will develop innovative technology for conducting the diagnosis and prognosis of vibro-acoustic characteristics of a complex machine. This technology aims to offer substantial advantages over current technologies such as experimental modal analysis (EMA) and operational modal analysis (OMA). EMA and OMA attempt to gain an insight into the integrity of a vibrating structure by extracting modal parameters. The knowledge acquired cannot be used in noise abatement, however, because modal parameters have no direct relation to sound. The new technology exploits the concept that sound and vibrations are two different physical phenomena, and will enable users to obtain a clear and better understanding of the root causes of vibration-induced noise. Also, the input data to this technology can be collected by using non-contact, non-invasive measurement equipment. Hence, users can use this new technology to tackle noise and vibration issues of a complex machine running in its native and normal operating condition.The potential outcomes of this project should broadly impact science and technology in sound, structures, and their interactions. Additionally, the knowledge gained will have a profound impact on noise and vibrations, including not only diagnosis and prognosis, but product quality control and product testing because noise is an indicator of defects in products at various stage of a manufacturing process. Noise is also a significant health and environmental issue. According to the National Institute of Health, over 10 million Americans suffer permanent noise-induced hearing loss and about 30 million Americans are exposed to daily noise levels that eventually impair their hearing. The proposed technology will enable users to identify and abate undesirable sound and vibrations in the most cost-effective manner. Use of the proposed technology will significantly enhance the competitiveness of manufacturing industries in the United States in tackling a variety of noise and vibration issues.

这个小型企业创新研究（SBIR）第一阶段项目将开发创新技术，用于对复杂机器的振动声学特性进行诊断和预测。该技术旨在提供比现有技术（如实验模态分析（EMA）和操作模态分析（OMA））更大的优势。EMA和OMA试图通过提取模态参数来深入了解振动结构的完整性。然而，所获得的知识不能用于噪声消除，因为模态参数与声音没有直接关系。这项新技术利用了声音和振动是两种不同的物理现象的概念，并将使用户能够更清楚地了解振动引起的噪音的根本原因。此外，该技术的输入数据可以通过使用非接触式、非侵入式测量设备来收集。因此，用户可以使用这项新技术来解决复杂机器在其自然和正常运行条件下运行的噪声和振动问题。该项目的潜在成果将广泛影响声音，结构及其相互作用的科学和技术。此外，所获得的知识将对噪声和振动产生深远的影响，不仅包括诊断和预测，还包括产品质量控制和产品测试，因为噪声是制造过程各个阶段产品缺陷的指标。噪音也是一个重要的健康和环境问题。根据美国国家卫生研究所的数据，超过1000万美国人患有永久性噪音引起的听力损失，大约3000万美国人每天暴露在噪音水平下，最终损害他们的听力。拟议的技术将使用户能够以最具成本效益的方式识别和消除不良的声音和振动。该技术的使用将大大提高美国制造业在解决各种噪音和振动问题方面的竞争力。