The Development of a test bed to support the Design of Diagnostics and Prognostics Applications of a complex system
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 2
Abstract
This paper presents the development of test bed to support diagnostics and prognostics applications as to enhance precision in component or subsystem. The development of this test bed is divided into three parts: the hardware, software (LabVIEW code), and the commissioning of the test bed. The hardware development involves the identification, wiring, setting, and the mounting of the components and their connections to the NI cDAQ 9172 module for proper data acquisition. The software part involves the LabVIEW code development that can be used to control the hardware component via the NI cDAQ 9172. The LabVIEW code development is carried out by developing a standard code for each of the hardware components and on the other hand the configuration of the DAQ that will be able to acquire data from these components. The test bed commissioning is about fault detection and simulation with regard to diagnostics and prognostics application using the five faults scenario which includes: clogged filter, faulty gear pump, stuck valve, leaking pipe, and clogged nozzle. The prognostic application integrates a short duration and a long duration prediction of the physical model, using the data-driven based model to obtain the remaining useful life (RUL) of the component or subsystem. However, the data driven model is utilised in this work. The diagnostic and prognostic applications are focused on how to determine the health status of component or subsystem and predict the end of life (EOL). The five faults scenarios such as clogged filter, faulty gear pump, stuck valve, leaking pipe, and clogged nozzle are the basic failure modes in many application areas which tend to reduce the fuel system efficiency. This work presents a data collection method for clogged filter, faulty gear pump, stuck valve, leaking pipe, and clogged nozzle phenomenon in the laboratory on the fuel system test rig. The different faults scenarios are being emulated by the percentage opening of the direct proportional valve (DPV). The pressure data as represented by pressure1, pressure2, pressure3, pressure4, pressure5 are obtained continuously during the test period, which is represented on the graph to indicate the healthy and faulty condition. The DPV percentage opening was carried out by taking into account the pressure drop trajectory being generated from the phenomenon diagnostic test rig. The system response for healthy and faulty condition test results was plotted and used to determine the component or subsystem faults severity.
Authors and Affiliations
Nwiwure Don Basil Emmanuel, Agbep Nornu Steve, Komi Innocent Saturday
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