Recently, Harbin Engineering University (HEU) has made significant technological breakthroughs and successfully transitioned them into applications in the field of intelligent operation and maintenance for ship power systems. The “Common Rail Injector Fault Diagnosis Algorithm Generation Software Based on FOA-VMD and HDE”, independently developed by the Yantai Research Institute, has been successfully deployed. Additionally, a technical transformation agreement has been signed with Headway Technology Group Co., Ltd.
Building on a strong theoretical foundation and supported by an industry-university-research collaboration model, the Low-Carbon Energy Power Technology Innovation Team at the Yantai Research Institute has established a comprehensive technical system. This system encompasses signal denoising, feature extraction, fault diagnosis, and health management. The team has pioneered the international application of Hierarchical Dispersion Entropy (HDE), expanding the boundaries of information entropy theory in engineering. This breakthrough allows for precise measurement of multi-scale complexities in non-stationary and non-linear signals, effectively identifying early fault indications from weak information mutations. It also establishes a technical pathway from “signal perception” to “state assessment”.
Algorithm Flow of Bidirectional Multivariate Entropy Theory
Principle of Hierarchical Dispersion Entropy
At the core of the algorithm, the team introduced an innovative weak fault diagnosis framework based on MGOA-MOMEDA-HWPE. This framework ensures exceptional robustness and diagnostic accuracy even in extreme conditions such as strong noise and fluctuating operational environments, placing the system at the forefront of international technical standards.
t-SNE Visualization of Information Entropy Features, Demonstrating the Effectiveness of the Proposed Method in Fault Feature Classification
This technology marks a significant shift from traditional “post-fault maintenance” to intelligent “pre-fault early warning” systems. It enables real-time monitoring and intelligent evaluation of engine health, greatly enhancing the reliability and economic performance of equipment.
Software in Practical Production Testing
The technology holds vast potential for engineering applications and can be implemented in the power systems of various merchant ships, naval vessels, and offshore platforms.
Software User Interface
Headway Technology Group plans to leverage this technology to accelerate the development and industrialization of the next generation of ship health management systems, contributing to the advancement of intelligent ship equipment in China.
