Today, quadcopters play an important role in a variety of industries due to their many advantages over other aircraft. In addition to their high level of technology, quadcopters are susceptible to damage, and their repair can be costly. On the other hand, today, reliability is recognized as a critical design feature in most industries. A device's reliability is one of the most important issues in the field of engineering since it provides engineers with an insight into how a device performs. The reliability of a system is one of the most important and complex issues. Since reliability is a key factor in all industries and can have significant effects on increasing the life and quality of products, we tried to use reliability using statistical relationships and mathematical models as well as past experiences. Due to their reliability, cost-effectiveness, and multifunctionality, they are frequently used in a variety of locations Then, by examining the failures modes and their results on the system, the effects of the quadcopter failures are analyzed using the FMEA method, in order to determine the modes and causes of failure. Finally, to determine the causes of failure, we have checked the quadcopter by FTA method to minimize the possibility of failure. The purpose of this article is to first discuss definitions and concepts in the field of reliability and then to analyze the quadcopter and its components.

Our study aims to obtain the highest level of reliability for a quadcopter, taking financial and mass limitations into account, to achieve the highest level of reliability with the lowest mass and cost. For this purpose, we first calculated the reliability and the relationships that govern it, and based on these relationships, we determined the reliability of the quadcopter subsystems. In order to achieve the highest level of reliability, we utilized optimization algorithms. It is possible to increase the reliability of a system through several methods, such as enhancing the quality of parts and components, using surplus components, improving the quality of parts and components by always using surplus components, and redesigning the system. This study examines the possibility of increasing quadcopter reliability by using additional parts and optimizing it using the firefly algorithm. Lastly, in order to validate the results obtained from the firefly algorithm, we implemented the problem once again using the genetic algorithm and compared the results obtained from both algorithms. After 20 times of running the algorithms, the optimal reliability values were 0.99925 for the firefly algorithm and 0.99999 for the genetic algorithm.

Quadcopters are playing an increasingly important role in a variety of industries due to their numerous advantages over other types of aircraft. Additionally, quadcopters are susceptible to damage, and their repair can be costly. On the other hand, today, reliability is recognized as a critical design feature in most industries. A device's reliability is one of the most important and complex issues in the field of engineering since it provides engineers with an insight into how a device performs. Due to the fact that reliability is a major factor in all industries and can significantly affect the quality and life of products, we analyzed the reliability of a quadcopter using statistical relationships, mathematical models, and previous experiences. After examining the failure modes and their effects on the system, the effects of the quadcopter failures are analyzed using the FMEA method, in order to determine the cause and mode of the failure. Finally, to determine the causes of failure, we have checked the quadcopter by the FTA method to minimize the possibility of failure. The purpose of this article is to discuss definitions and concepts in the field of reliability, followed by an analysis of the quadcopter and its components.

Quadcopters are a special type of unmanned aerial vehicle, which have received a lot of attention today due to their various applications in various fields. Quadcopters, due to their high functionality, the presence of various high-tech elements in them, along with special flight standards, etc., have set the conditions in such a way that the occurrence of any breakdown and fault, even a small one, will incur huge costs. Therefore, reliability estimation is of special importance for these systems. In addition, due to the limitation of financial resources and mass for the quadcopter, the design of a system should be done in such a way as to achieve the highest possible amount of reliability based on our limited resources. In this article, we have tried to obtain the best possible answers by using optimization algorithms while calculating the reliability. In order to increase the reliability of a system, there are several methods including increasing the quality of parts and components, using surplus components, increasing the quality of parts and components the use of surplus components and redesigning the system. In this article, an attempt has been made to increase the reliability of the quadcopter by using redundant components, and for this purpose, firefly algorithms have been used, and genetic algorithms have been used to validate and validate the results obtained. Finally, after running the algorithms 20 times, the optimal reliability values of 0.99925 using the firefly algorithm and 0.99999 using the genetic algorithm were obtained.