An online, risk driven, condition monitoring, predictive maintenance management and design upscaling tool for marine energy devices (RISKMAN)

为了与其他能源系统竞争，海洋能源需要逐步降低CAPEX/OPEX并增加不可用时间（AVT）。在电网阵列中，albatn WaveNet可扩展波浪能转换器（WECs）的7.5kW规模与替代设计相比，已经实现了几倍的资本支出降低，并且在1gww电网规模的目标是到2024年实现150兆瓦时的电力成本，与海上风电竞争。针对这一目标的一项使能技术是在线、在役、风险驱动的；将首次为WECs开发状态监测、预测性维护管理和设计升级工具（RISKMAN），以实现逐步降低运营成本、提高AVT和优化设计寿命。RISKMAN将把监测到的疲劳周期（振动谱）输入到疲劳寿命的理论模型中，通过历史可靠性数据进行改进，得出发电机部件剩余寿命的概率分布函数，从而优化维护计划。RISKMAN将是一个通用系统，适用于发展中国家贫穷、离网和岛屿社区所有类型的海浪资源的开发。

For marine energy to compete with other energy systems, a step reduction in CAPEX/OPEX and increase inavailability times (AVT) is required. Albatern WaveNet scalable wave energy convertors (WECs) at 7.5kW scale,in grid arrays, have achieved a several fold CAPEX reduction compared with alternative designs, and at 1GWgrid scale aim to achieve a levelised elecricity cost of £150MWhr, competitive with offshore wind, by 2024. Asan enabling technology for this target an online, in-service, risk driven; condition monitoring, predictivemaintenance management and design upscaling tool (RISKMAN) will be developed for WECs FOR THE FIRSTTIME, to achieve a step OPEX reduction, AVT enhancement and design life optimisation. RISKMAN will inputmonitored fatigue cycle (vibration spectra) into theoretical models of fatigue life, refined by historic reliabilitydata, to derive probability distribution functions for the remaining life of generator components and henceoptimised maintenance schedules. RISKMAN will be a generic system applicable to all types of WECs, forexploitation of all the huge wave resources in poor, off-grid and island communities in developing countries.