Essay Example - System Safety Analysis

Safe Assessment (SA) is a well-established technique that ensures safety and reliability of vital systems in a plane. SA deploys probabilistic analysis which provides accurate measures which assist in the application of safety requirements in a system. As a way of improving safety and reliability, SA is integrated with unmanned aerial vehicles (UAV) which are deployed in public and military aerospace companies. This concept helps a pilot to develop a different mode of thinking, observation, response, and decision making, especially when an action occurs which may expose them to risk. This action helps to minimize the level of fault and failure in the industry. In UAV, there are several sensors which assist a pilot in identifying a fault or failure easily. Normally, sensory systems affect the operations of other parties, and hence, it is easier for a pilot to recognize a fault. However, critical system impacts the total performance of the system, and thus, it becomes a threat to application. Therefore, for safe analysis of UAV, a pilot is required to consider different types of performance sensors.

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Typically, the key aim of AUV is to review and monitor the safety by linking critical sensor output and ensure successful application of UAV. As a way of improving this technique, Bayesian Networks (BN) is deployed using the software, BayesiaLab 5.4.3 DE. This application strength and enhance sensory performance, and hence, minimizing the risks. Additionally, application of software helps to enhance analysis by improving precision approach which improves sensory functionality.

SA uses complex action and process, which help to reduce the probability of possible risks. Typically, during the process, risk evaluation is performed in a parallel manner based on system design. At this time, UAV is considered as the best application of safety evaluation of vital systems. Usually, autopilot acts a control of UAV. Due to this system, UAV can easily be deployed in surveillance, remote sensing, and other monitoring activities. Proper functionality and application are essential for basic system implementation. As such, any change in normal performance makes sensory values to sense as a failure. A failure of a single part will cause a breakdown of the whole system. Therefore, there is need to deploy effective monitoring system which helps to safeguard from failure.

In aerospace engineering, experts are required to understand how aircraft systems are built to be able to bear hardware and software failure. Application of software and hardware help engineers to detect and recognize a defect so as to take appropriate control techniques. Through fault detection and isolation (FDI), engineers are able to deploy an effective approach which helps to overcome so air challenges. In order to improve the performance of this technique, experts integrate FDI with Bayesian Network (BN). Therefore, it becomes much easier for surveillance and monitors how a system is performing.

For effective and safe evaluation of UAV, the performance of various sensors much effectively been considered. At this point, about six sensories are deployed to improve safety evaluation. When running in a system, it is easier for an engineer to under whether the condition is safe. This technique helps to explain variable based on the safety of unsafe mode. As a way of improving evaluation, one may simulate result by using graphs which indicate the distribution and sensory output variables. This concept helps to differentiate connect and disconnected nodes in a plane.