Cavision Cavitation monitoring
Listening out for what you can’t see
Cavitation is a phenomenon that can cause premature wear of hydraulic equipment and is still one of the least monitored physical problems today. As part of its predictive maintenance services, HYDRO Exploitation offers a module focused on this phenomenon.
The Cavision monitoring module is capable of detecting cavitation within an installation using non-intrusive acoustic measurements and machine learning algorithms. Cavision can be used for on-the-spot diagnosis (fingerprint) or ongoing measurements (monitoring).
Dans le cadre de son offre de maintenance prédictive, HYDRO Exploitation propose un module dédié à ce phénomène. Le module de monitoring Cavision permet une détection de la cavitation sur une installation, au moyen d’une mesure acoustique non-intrusive et d’algorithmes de Machine Learning. Cavision peut être utilisé pour un diagnostic ponctuel (fingerprint) ou une mesure continue (monitoring).
Methodology
- Cavision module installation feasibility study
- On-site installation of the Cavision module
- Analysis of data in order to work alongside the operator in identifying cavitation regimes present
- Analysis of results and recommendations on operational adjustments
Specific skills
HYDRO Exploitation specialists can provide:
- A detection module developed specifically for cavitation phenomena
- Experience in analysing and identifying cavitation regimes in hydraulic equipment.
Client benefits
There are a number of short-term benefits for the owner of the hydraulic plant, such as:
- Detecting observable cavitation in the installation
- Monitoring of the number of operating hours during which cavitation regimes are present
- An analysis of the various observable cavitation regimes in the installation
- Data that can be used to optimise the installation’s operating periods and maintenance costs
Long-term data collection and a study of turbine condition can be used to produce a more detailed analysis. Wear caused by cavitation can be estimated based on the number of hours during which cavitation regimes have been present and by observing variations in the noise produced by the installation.