The diagnostics health management applications of a fuel system filter, for complex system distributed instrumentation

Filter is one of the most essential components of any vehicle fuel system. The filtration of debris and or contaminations such as: dirt from fuel, rust particle form tank, moisture etc. is effectively carried out by the filter to enable vehicle healthy in good condition. Filter clogging is hazardous to vehicle life hence it leads to failure mode which causes reduction in system performance and efficiency. The test bed module is used to achieve the filter clogging scenarios in the laboratory with respect to fuel system test rig and filter clogging diagnostics. The diagnostics applications are focused on how to determine the health status of component or subsystem and determine the faults severity that is capable of reducing the fuel system efficiency or total breakdown. The clogged filter fault scenarios will be emulated on the test rig using the direct proportional valve (DPV). The percentage opening of the DPV is carried out on the diagnostics test rig to determine the filter healthy and faulty condition. The NI cDAQ 9172 which have the capability to acquire data from the hardware component (DPV) is configured to control the subsystem. The data obtained from the DPV, during the test period is represented on the graph to represent the filter healthy and faulty condition. The healthy condition is determine by the percentage opening of the (DPV) from 100%, 80%, 60%, 40%, and 20%, while the clogged filter faulty condition scenarios is actualised by injecting fault in to the (DPV), and then gradually open from 100%, 80%, 60%, 40%, and 20%. This paper presents a data collection method for clogged filter in the laboratory on the fuel system test rig. The system response for healthy and faulty condition test results was plotted and used to determine the filter faults severity. The data driven method is used in this paper work.