Most air accidents occur during landing, therefore, in addition to the need for high accuracy and quality in design, the landing gear system has the highest need for periodic maintenance and iection to ensure the flight safety of an aircraft. Landing gear health diagnostic tests are performed annually, monthly, weekly and daily. Before the flight, the daily test is performed visually by the flight pilot. Errors may occur outside of the test time and in areas far from sight, so it is necessary to detect defection of the landing gear as instantaneous and online. In this research thesis, wireless sensor networks are used to monitor the health of the landing gear system. Since the main cause of the limitation in the wireless sensor network is its power source, the energy harvester technology will be used as a suitable replacement for batteries, which in addition to extending the life of wireless sensors in the aircraft ambiance, it will solve the problem of large size and short lifespan, as well as the high cost of rechargeable batteries. When the plane is flying, the landing gear gathers in the fuselage, therefore, it experiences the same vibrations of the fuselage. First in this research, the resonant characteristic was extracted by modeling the piezoelectric energy harvester. Then, by checking the vibration spectrum of a model aircraft sample, it was shown that the vibration spectrum was multi-frequency and under these conditions, the use of appropriate array harvester of this multi-frequency spectrum will be a suitable solution to get power from the vibrations of the fuselage of the flying aircraft. When the plane is landing and taking off or taxiing, vibration of the shimmy phenomenon will be a good option for receiving power, therefore, in the following research, the shimmy phenomenon has been thoroughly studied and the factors affecting it are also checked and its frequency spectrum will be extracted in these three modes, then, by changing the parameters affecting the shimmy phenomenon, the unstable conditions of this phenomenon will be provided and it is shown that the healthy Landing gear frequency Spectrum is completely different from the defective landing gear frequency spectrum. This will help detect defection of the landing gear by studying its frequency spectrum. Finally, by designing a suitable piezoelectric harvester to receive power from the shimmy phenomenon, it is possible to supply power to the sensors and the processing unit without any restrictions. Therefore, in addition to providing electrical power from the shimmy phenomenon, by comparing the signals produced, the defection of the landing gear will also be detected. Keywords Landing gear, Structural Health Monitoring, Wireless Sensor, Piezoelectric Energy Harvester, Shimmy Phenomenon