US 2022/0018731 A1 · DEVICE AND METHOD TO PREDICT THE ONSET OF OSCILLATORY INSTABILITIES IN SYSTEMS WITH TURBULENT FLOW

Abstract

Disclosed are devices and methods of detecting and mitigating oscillatory instabilities in systems with turbulent flow, such as thermoacoustic, aeroacoustic or aeroelastic equipment. The system includes a sensor array for measuring one or more parameters of an operating equipment S, and an analysis and prediction unit. The analysis and prediction unit is configured to estimate a state tensor to identify a state of the equipment indicating stable operation or impending oscillatory instability. The system further includes an actuator array configured to implement a control action to promote stable operation of the equipment. Methods for robust prediction of the state of stability are also disclosed. A neural ordinary differential equation (ODE) method of predicting stability or instability is disclosed, involving forming a neural network that incorporates an equation characteristic of the operational state. The invention further discloses a hybrid convolutional neural network based prediction method for stability.

Claims12

Dependent claims

A system for predicting and controlling onset of oscillatory instability in a turbulent flow equipment, the system comprising:

a sensor array comprising at least one sensor of a piezoelectric pressure transducer, a microphone or a strain gauge to measure analog signals;
an analog to digital converter for converting the analog signals to a digital signal;
an analyzing unit, configured to estimate a state tensor including multidimensional data from the digital signal, or to implement a control action to promote stable operation of the equipment;
and
a learning and prediction unit configured for classifying and recognizing patterns present in multidimensional data to identify potential onset of an unstable operating state of the equipment.

2 more elements

A method of predicting and mitigating occurrence of a potentially unstable operating state of an equipment, the method comprising:

measuring, by one or more sensors in a sensor array, a signal indicative of operating state of the equipment to obtain a measured signal;
converting, by analog to digital converter the measured signal into a digital signal;
estimating, by an analyzing unit, a state tensor from the digital signal;
receiving the state tensor at a learning and prediction unit, the unit having a neural network prediction module with a dynamic model of the operating state of the equipment;
calculating a stability parameter corresponding to the received state tensor using the dynamic model;
updating the dynamic model with the state tensor;
comparing the stability parameter against a threshold;
and
identifying an impending onset of instability in the operating state of the equipment.

6 more elements

Dependencies are inferred from the claim text.

Device and method to predict the onset of oscillatory instabilities in systems with turbulent flow

Life of this patent

Device and method to predict the onset of oscillatory instabilities in systems with turbulent flow

Life of this patent

Abstract

Claims12