Effektivisering av felsökningssystem för stridsfordon

Sammanfattning: This study was conducted in collaboration with BAE Systems Hägglunds in Örnsköldsvik. They wanted help with their objective of researching the necessary components of a testability analysis. The primary goal was to enhance the efficiency of troubleshooting and diagnostics for their combat vehicle, Cv90. As their vehicles become increasingly advanced, troubleshooting can become challenging and time-consuming. An example of a problem that can arise is when an error code is displayed to the crew, but the technicians at the workshop are unable to identify the root cause of the error. To gather information, scientific articles and other relevant documents were extensively reviewed. Additionally, interviews were conducted with employees at BAE. The scope of the study was limited to troubleshooting within a workshop setting, rather than in the field. It was assumed that the troubleshooting equipment and software were functional, and the focus was solely on identifying faulty components. The research was conducted both in Umeå and on-site in Örnsköldsvik. A methodology for implementing a fault detection system with effective testability was developed. This encompassed considerations for the construction and content of the troubleshooting system. Determining the system's requirements and devising methods for testing their fulfillment were crucial aspects. Prioritization of different functions based on their criticality was recommended. Critical functions should be addressed first and may require more costly and intricate solutions. Various approaches to enhance troubleshooting at a more granular level were identified. These included establishing better threshold values, accounting for measurement uncertainties in the test equipment, and emphasizing the importance of a robust test design that considers deviations from system equilibrium. Additionally, worn components were recognized as a potential cause for false indications that are challenging to diagnose. It is important to note that these improved fault detection methods have not yet been implemented in the vehicles.