Organic Rankine cycle system fault detection method based on generalized cross-entropy-DPCA (Dynamic Principal Component Analysis) algorithm

Abstract

The invention discloses an organic Rankine cycle system fault detection method based on a generalized cross-entropy-DPCA (Dynamic Principal Component Analysis) algorithm, and relates to the field of non-Gaussian random system fault diagnosis. The generalized cross-entropy-DPCA algorithm is mainly utilized; after normalization processing is carried out, a generalized Gaussian kernel function is adopted to replace a Gaussian kernel function to define the cross-entropy again to obtain a generalized cross-entropy-DPCA performance index, and the performance index is optimized to solve an optimal direction matrix; meanwhile, a confidence coefficient [Alpha]is set to solve control limits for a probability density function integral; after the direction matrix is solved, fault data under a fault working condition is adopted and is subjected to the normalization processing; then, the fault data is calculated by the direction matrix to obtain the SPE statistical magnitude and the T2 statistical magnitude of the fault data model; and the SPE statistical magnitude and the T2 statistical magnitude are compared with the calculated control limits to detect whether the system fails or not. By use of the organic Rankine cycle system fault detection method, a generalized Gaussian kernel is adopted, the method exhibits better universality, and in addition, fault detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of fault diagnosis of non-Gaussian random systems, in particular to a fault diagnosis method for an organic Rankine cycle system based on a generalized cross-entropy-DPCA algorithm. Background technique [0002] Energy saving and emission reduction, and improving energy utilization have become important measures to maintain sustainable development. The low-temperature waste heat power generation system converts the waste heat of flue gas in the boiler tail flue into mechanical energy through Organic Rankine Cycle (ORC, Organic Rankine Cycle), and then into high-grade electric energy, which plays an important role in energy saving, water saving, and reduction of harmful gas emissions. significance. As the system runs for a long time, various components in the system may fail, resulting in a decrease in system efficiency and performance, resulting in huge economic losses and even a serious threat to personal safety. T...

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Problems solved by technology

[0005] The present invention provides an organic Rankine cycle based on the generalized cross-entropy-DPCA algorithm in order to solve the problem that the traditional DPCA method will have false positives and negative negatives because the ORC system does not obey the Gaussian distribution and has many variables. System Fault Diagnosis Method

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