Machinery Health State Detection (mSTATE) supporting Future Net Zero Energy Generation

下一代机器健康状态检测（mSTATE）产品——结合了最先进的数字信号处理硬件和新颖的数学算法，用于未来的净零能量产生。这个为期18个月的合作项目将通过开发创新和自适应机械故障状态检测处理和算法技术，逐步改变现有机械保护系统的价值，通过早期故障检测和避免误报警来提高机器的安全性和可靠性。由此产生的诊断将有助于加强决策，使工业市场部门能够采取有意义和及时的维护行动。该技术将适用于监测所有关键的旋转机械，在这些机械中，故障可能会损害安全，产生重大成本，对电力供应产生不利影响或违反环境标准。该财团由Beran仪器有限公司（一家英国中小企业）领导，包括EDF能源核能有限公司和布里斯托尔大学（UoB）。

Next-generation Machinery Health State Detection (mSTATE) product - combining state-of-the-art digital signal processing hardware and novel mathematical algorithms for future net zero energy generation.This 18-month collaborative project will result in a step-change in the value of existing machinery protection systems through the development of innovative and adaptive machinery failure state detection processing and algorithmic technologies, to improve machine safety and reliability through earlier fault detection and avoidance of false alarms.The resulting diagnostics will permit enhanced decision-making, enabling meaningful and timely maintenance actions within industrial market sectors. The technology will be applicable for monitoring of all critical rotating machines where failure may impair safety, incur significant costs, adversely affect electricity supply or violate environmental standards.The consortium, led by Beran Instruments Ltd. (a UK-based SME), includes EDF Energy Nuclear Generation Ltd. and University of Bristol (UoB).