A novel remote condition monitoring and fault diagnosis system for marine diesel engines based on the compressive sensing technology
Zhixiong Li, Xinping Yan, C. Sheng · Journal of Vibroengineering · 2014
Diesel engines are the most important equipments in the marine propulsion system. Due to offshore working condition, it is essential to establish remote network to monitor the health status of the diesel engines. Unfortunately, very limited work has been done for remote condition monitoring and fault diagnosis (CMFD) of marine diesel engines. To address this issue, we present a novel remote CMFD system to detect engine combustion fault, which appropriately introduces the compressive sensing technique into the remote data transmission. The instantaneous angular speed (IAS) signal of the engine is transferred remotely from the ship to shoreside data center. Combustion fault detection is achieved by time-frequency spectrum analysis on the decompressed IAS data. The key advantage of our proposed remote CMFD system is that the IAS data has been sampled in a low-speed manner by compressive sensing, thus greatly reducing the computational requirements in the data transmission. We have established our proposed remote CMFD system for a real dredger to demonstrate its efficiency in the engine combustion fault detection.