Hydro
Absolute vibration of the bearings
Relative shaft vibration
Axial displacement
Phase reference
Rotation speed
Absolute stator vibration
Spiral box pressure
Suction tube pressure
Magnetic flux
Air gap
Turbine flow
Upstream water level
Downstream water level
Active and reactive power
Opening of the distributor
Temperatures (bearings, oil, stator ...)
AQTech's solution for hydroelectric plants monitors the variables of the generation function, from the water outlet, gate and duct, with a focus on the turbine and generator and even the transformer and circuit breaker.
It allows the storage of the history of trends and the recording of events and disturbances in an integrated way with the plant's SCADA. In addition, all machine vibration monitoring follows ISO 20816, ISO 10816, ISO 13373 and ISO 13381.
The solution also allows automatic fault diagnosis to be performed by notable frequencies and sends alarms and proactive notifications to those responsible, enabling optimized maintenance in the generation plants.
VibraOne Hydro
VibraOne Hydro is a data acquisition equipment developed to meet the needs of the generation utilities.
The system consists of processing functions, analog inputs, digital inputs, digital outputs, communication interfaces, among others.
The VibraOne Hydro continuously monitors and records the operating conditions of the generating units, detecting faults and disturbances and allowing constant validation of the operation and performance of the field systems.
Software AQTech
The AQTech software platform is comprised of tools that assist in assessing the condition of the machine, allowing predictive maintenance of the asset.
The data from the sensors and integration with local SCADAS are stored in a database and visualized through analysis of trends, events and disturbance records.
The automatic diagnostic tool streamlines the process of detecting problems in the generator and other analysis tools, such as FFT cascade, air gap, magnetic flux and orbit, give the specialist detailed information about the machine's condition, while stratification and extrapolation features allow a view prognosis of the asset.