Automatic machine fault diagnosis is perfomed by detecting specific harmonic frequencies associated with the nominal rotation of the generating unit. The Analyzer is equipped with pre-registered failure modes, including unbalance (mechanical, magnetic, hydraulic), misalignment (angular, parallel), failures in the generator stator, turbine failures (rotor blades, guide vanes), problems in the hydraulic flow, pressure actuation, clearance, oil whirl, and bearing shoe failures, in accordance with ISO 13373-1, ISO 13373-3, and ISO 13373-7. The diagnostic tool also allows users to create new failure modes through logical blocks, mathematical operations, constant inputs, output blocks, text boxes, Boolean operation blocks, and notifications resulting algorithms.

Our post-processing software offers advanced vibration analysis tools, including waveform, orbital (XY), FFT cascade, and spectrogram analysis according to ISO 13373-2 standards. With additional mathematical and statistical operations, our software enables specialized engineering professionals to conduct in-depth evaluations. Long-term trend records and analysis tools support vibration diagnosis, as recommenden in ISO 17359 and ISO 13373-2 standards. Additionally, the software includes an air gap analysis tool, which helps prevent failures such as rubbing between the rotor and stator, and a magnetic flux measurement tool.

High-performance hardware and software that allows real-time visualization of vibration data. With a supervision screen, you can monitor global values, vibration level alarms (ISO 20816), and operating data, received through industrial protocols via the local SCADA integration. Additionally, our real-time visualization tool provides waveforms, FFT spectri, and orbitals, making it ideal for field testing, such as machine commissioning, operating range tests, index tests, and more. You can also configure the signal acquisition rate, monitor multiple variables in real-time, and generate records for later analysis in specific operating conditions of the generating unit.

In the context of predictive maintenance, estimating remaining machine life (RUL) and end-of-life (EOL) is crucial. AQTech software uses the ISO 13381-1 standard to extrapolate global vibration data and values associated with frequency spectrum ranges that are closely linked to fault diagnosis. AQTech has extensive expertise in applying predictive models based on statistical and machine learning (ML) techniques, including Auto-Regressive (AR) models such as ARIMA (Autoregressive Integrated Moving Average).