Impact of Injection Valve Condition on Data-driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications
The advent of digitalization opens up new avenues for advances in large internal combustion engine technology. Key engine components are becoming "intelligent" through advanced instrumentation and data analytics. By generating value-added data, they provide deeper insight into processes related to the components. In addition, these data form the basis for novel condition monitoring, predictive maintenance and controls approaches. Changes to the intelligent component’s operational characteristics due to wear or faults pose a particular challenge for developers of such approaches for later series application. A previous study has already demonstrated that an intelligent common rail diesel fuel injection valve for large engine applications in combination with machine learning allows reliable prediction of key combustion parameters such as maximum cylinder pressure, combustion phasing and indicated mean effective pressure.