We will discuss the impact of FAs and NFFs on TurAF F-16 Avionics maintenance activities and evaluate measures that could or should be taken to improve the effectiveness of maintenance personnel in light of these complex events. As is the case with many avionics repair facilities, whether military or civilian, the NFF issue requires closer scrutiny for the root-causes and evaluation of its impact on cost and aircraft operational time. In this paper we explore the NFFs experienced by Turkish Air Force (TurAF) F-16 avionics which are causing problems for maintenance and increase operational costs and aircraft down-times. ![]() Military systems are experiencing these NFF phenomena as well. ![]() There are multiple and complex causes for FAs and NFFs and it is beyond the scope of technicians to come up with mitigating solutions. We will mention results of the studies in the literature addressing the various aspects and impacts of the FA and NFF phenomena. If a FA or NFF causes a particular Line Replaceable Unit (LRU) to be called out incorrectly, that same LRU could be called out in many aircraft, possibly shutting down the entire fleet. An entire aircraft can be grounded because of a single avionics for which there are insufficient spares available. The second case study deals with the same type of fault but in an aircraft environmental control system with multiple sources of uncertainty.įalse Alarms (FAs) and No Fault Founds (NFFs) impose a devastating impact on aircraft systems. The first case study focuses on a plate fin heat exchanger with various levels of particulate fouling at steady-state and transient conditions. The proposed framework is applied on two case studies that compare the identifiability of faults at nominal and optimal system test conditions. Each test design is evaluated a posteriori using the system model to explore whether false alarms are plausible, given system uncertainty and measurement noise. The optimal tests designed improve the identifiability of faults by manipulating system inputs to maximize information with respect to faults, in the form of sensitivities of the system outputs. In this framework, robust maintenance tests are designed and conducted, followed by false alarm analysis. In this paper, a comprehensive model-based FDI framework is proposed to improve fault identifiability and reduce false alarms during maintenance testing. Model-based fault detection and isolation (FDI) methods are used to determine faults by examining the deviation of sensed information from anticipated system trajectories. We will conclude with recommendations that could assist in mitigating FAs and NFFs in military systems. We will discuss the impact of FAs and NFFs on TurAF F-16 avionics maintenance activities and evaluate measures that could or should be taken to improve the effectiveness of maintenance personnel in light of these complex events. In this paper, we explore the NFFs experienced by Turkish Air Force (TurAF) F-16 avionics, which are causing problems for maintenance and increase operational costs and aircraft downtimes. ![]() If an FA or NFF causes a particular Line Replaceable Unit (LRU) to be called out incorrectly, that same LRU could be called out in many aircraft, possibly shutting down the entire fleet. An entire aircraft can be grounded because of a single avionic for which there are insufficient spares available. False Alarms (FAs) and No Fault Founds (NFFs) impose a devastating impact on aircraft systems.
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