Session: 04-37: Combustion dynamics - experiments II

Paper Number: 127757

127757 - Combustion Instability Detection Based on Multi-Signal Information Fusion for an Industrial Gas Turbine Combustor 

Combustion instability is a highly concerned issue for premixed combustors, which is excited by the feedback loop between the combustion chamber’s acoustic modes and heat release fluctuations. Early detection of combustion instability is very important for the safe and reliable operation of gas turbines. In this study, high pressure and high temperature tests were conducted to investigate the thermoacoustic features of an industrial-scale combustor. The combustor contains a pilot burner and main burner, which adopt diffusion and premixed combustion respectively. The transition processes of thermoacoustic state from combustion noise to periodic oscillation are experimentally studied for different operating conditions. Recurrence quantification analysis and multifractal analysis are used to study the nonlinear dynamics information of multi-signals including the dynamic pressure (DP) and accelerometer (ACC). Based on multi-signals information fusion of DP and ACC obtained from the tests, an early detection indicator (EDI) of combustion instability is proposed. The proposed indicator contains the dynamic information of DP and ACC signals in a high-dimension space. For three test cases, results showed that the proposed indicator can effectively detect the onset of combustion instability. Compared to the conventional detection based on the root-mean-square levels of dynamic pressure, the EDI is capable of forecasting the onset of combustion instability approximately a few hundred milliseconds.

Presenting Author: Yanni Fu Zhejiang University

Presenting Author Biography: PhD student of Zhejiang University

Authors:

Yanni Fu Zhejiang University
Yuming Zhang Zhejiang Rancon Turbine Machinery Co., LTD
Peng Zang Zhejiang Rancon Turbine Machinery Co., LTD
Yongfeng Sui Zhejiang Rancon Turbine Machinery Co., LTD
Yao Zheng Zhejiang University
Yifan Xia Zhejiang University