Abstract

Due to carbon deposits, lean flames, or damaged metal parts, sparks can occur in aero engine chambers. At present, the detection of such sparks deeply depends on laborious manual work. Considering that interference has the same features as sparks, almost all existing object detectors cannot replace humans in carrying out high-precision spark detection. In this paper, we propose a scene-aware spark detection network, consisting of an information fusion-based cascading video codec-image object detector structure, which we name SAVSDN. Unlike video object detectors utilizing candidate boxes from adjacent frames to assist in the current prediction, we find that efforts should be made to extract the spatio-temporal features of adjacent frames to reduce over-detection. Visualization experiments show that SAVSDN can learn the difference in spatio-temporal features between sparks and interference. To solve the problem of a lack of aero engine anomalous spark data, we introduce a method to generate simulated spark images based on the Gaussian function. In addition, we publish the first simulated aero engine spark data set, which we name SAES. In our experiments, SAVSDN far outperformed state-of-the-art detection models for spark detection in terms of five metrics.

Highlights

  • During aero engine testing, the engine frequently starts and stops with a high rotation speed at high temperature and pressure for a long time [1]

  • The phenomenon of spurting anomalous sparks may occur due to carbon deposits with low thermal conduction [2], lean flames [3], or damaged metal parts burning in the combustion chamber [4]

  • Due to the high speed of sparks, we found that the same spark will be captured at different positions in two or three adjacent frames under the premise of 25 fps video

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Summary

Introduction

The engine frequently starts and stops with a high rotation speed at high temperature and pressure for a long time [1]. Under these conditions, the phenomenon of spurting anomalous sparks may occur due to carbon deposits with low thermal conduction [2], lean flames [3], or damaged metal parts burning in the combustion chamber [4]. The damaged metal parts may be the result of compressor fouling and turbine erosion, which are considered as the main causes of engine performance degradation [6]. Abnormal sparks provide evidence of the instability of performance, structure, and operation of aero engines, which need to be detected in time to prevent huge economic losses

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