SBIR Phase I: Acoustic Beamforming for Process Monitoring

SBIR 第一阶段：用于过程监控的声学波束形成

• 批准号: 9660548
• 负责人: David Cutler
• 金额: $ 7.5万
• 依托单位: TPL, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9660548&HistoricalAwards=false
• 关键词: SBIR; Phase; Acoustic; Beamforming; Process

*** 96-60548 Cutler This Small Business Innovative Research (SBIR) Phase I project will investigate the collection and analysis of sound generated by in-situ process equipment as a diagnostic of process state. The new technique will combine acoustic beam forming for isolation and monitoring of specific sound generation sites and analysis of sound signatures for determination of equipment operational parameters. Sound and vibration generated by equipment is a reliable indication of equipment state. This technique will allow focused monitoring of system elements not typically accessed (such as piping) and high level, supervisory monitoring of overall process state without extensive hardware installation. Inclusion of valves and piping will permit automated detection and localization of system malfunctions such as leaks, turbulence, and steam hammering that are not treatable with traditional process monitoring equipment. Phase I will develop a low cost, easily customizable instrument that will be equally applicable to installation in new manufacturing plants and to non-intrusive retrofit of existing plants. Commercial applications are expected in large predictive maintenance market. Low cost installation, simple operation, and small personnel requirements will be useful in the process monitoring and predictive maintenance fields. ***

*** 96-60548 Cutler这个小型企业创新研究（SBIR）一期项目将研究现场工艺设备产生的声音的收集和分析，作为工艺状态的诊断。这项新技术将结合声束形成，用于隔离和监测特定的声音产生地点，并分析声音特征，以确定设备的操作参数。设备产生的声音和振动是设备状态的可靠指示。该技术将允许对通常不访问的系统元素（如管道）进行集中监视，并允许对整个过程状态进行高层次的监督监视，而无需大量的硬件安装。包括阀门和管道将允许自动检测和定位系统故障，如泄漏、湍流和蒸汽锤击，这些都是传统过程监控设备无法处理的。第一阶段将开发一种低成本、易于定制的仪器，既适用于新工厂的安装，也适用于现有工厂的非侵入式改造。商业应用有望在大型预测性维护市场。安装成本低，操作简单，人员需求少，将在过程监控和预测性维护领域发挥作用。＊＊＊