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The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment the Large Hadron Collider (LHC) at CERN currently is composed of a large number of distributed hardware and software components (about 3000 machines and more than 25000 applications) which, in a coordinated manner, provide the data-taking functionality of the overall system. During data taking runs, a huge flow of operational data is produced in order to constantly monitor the system and allow proper detection of anomalies or misbehaviors. The Persistent Back-End for the ATLAS Information System of TDAQ (P-BEAST) is a system based on a custom-built time-series database and it is used to archive and retrieve for applications any operational monitoring data. P-BEAST stores about 18 TB of highly compacted and compressed raw monitoring data per year acquired at 200 kHz average information update rate during ATLAS data taking periods. Since P-BEAST has been put into production, 4 years ago, several promising database technologies for fast access to time-series and column-oriented data have become available. InfluxDB and ClickHouse were the most promising candidates for improving the performance and functionality of the current implementation of P-BEAST. This poster presents a the testing methodology and setup and the first batch of results, along with some preliminary conclusions and further work outlook.

This paper presents a general overview of the different aspects of a novel structural health monitoring technique developed for wind turbine blades. The proposed technique is based upon detecting the changes in acoustic transmission loss due to structural deformation and damage incurred. This acoustics-based damage detection technique consists of two complementary approaches, namely, the active and passive acoustic damage detection approaches. The proposed approaches can be applied to both onshore and offshore turbines and requires minimum number of acoustic sensors positioned internal and external to the blade structure. Both approaches will be detailed from the structural health monitoring, acoustics, aeroacoustics as well as the practical implementation perspective. The potential benefits of using the proposed approaches and the corresponding technology on wind turbine blades is also discussed.