Free Vibration Analysis of Rotating Composite Box Beam using GY-521 Accelerometer

Kachare, P. S.; Parkhe, Avinash K.; Utpat, Abhay

doi:10.29322/ijsrp.9.02.2019.p8637

Cited by 8 publications

(9 citation statements)

References 8 publications

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“…Chaudhury et al [94] utilized MEMS inertial sensors MPU6050 to detect the behavior of ocean waves. They determined and controlled the direction of locomotion by altering pitch and roll by changing the center of mass.…”

Section: Mems Sensor-based Inertial Sensorsmentioning

confidence: 99%

Research advancements in ocean environmental monitoring systems using wireless sensor networks: a review

2023

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The ocean environment monitoring system is of great significance to the researchers because the ocean is the storehouse of natural resources. It is critical to comprehend and assess the ocean's environmental conditions. Several studies have been conducted over the last several decades that use sophisticated information and communication techniques to ensure the ocean ecosystem. Wireless sensor networks (WSNs) are a promising technology to monitor the ocean environment, which delivers significant benefits such as enhanced accuracy and real-time observations. The advancements in sensor technology such as micro electromechanical systems (MEMS), integrated systems, distributed processing, wireless communications, and wireless sensor applications have contributed to the development of WSNs. This paper describes the utilization of WSN and analyzes the previous and existing project works and technologies used for ocean environment monitoring through WSNs, and also includes the MEMS sensor technology used for monitoring various ocean parameters such as ocean wave monitoring, water conductivity, temperature, and depth of ocean.

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Section: Mems Sensor-based Inertial Sensorsmentioning

confidence: 99%

Research advancements in ocean environmental monitoring systems using wireless sensor networks: a review

2023

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“…This study is carried out for both damaged and undamaged using the same parameter. [1,2,3] The researches have been conducted on composite blades. Ronge et al presented experimental setup for damage identification of rotating blade for both damaged and undamaged using health monitoring approach.…”

Section: Introductionmentioning

confidence: 99%

Static & Dynamic Research of Composite Blade using Condition Monitoring Method

2019

IJRTE

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The use of composite materials has been increased in different industries like civil, mechanical, aerospace engineering due to their better properties. The rotating blade plays an important role in engineering structures such as turbine blades, airplane propellers, and helicopter blades. This deals with static analysis of composite blade to estimate the material uncertainty by measuring the deflection. The composite blade is fixed like a cantilever beam. To measure this deflection the Hall Effect Sensor is developed which is non contact device works on magnetic field. If magnet is come in front of sensor it creates magnetic field between them and that change in voltage or field is calibrated in terms of deflection of blade. The same process is carried for all the blades to check their uncertainty present in it. Also, it is deals with the dynamic analysis of blade to check their behavior in the axis under rotating condition for different RPM. The acceleration is considered as performance parameter to check the behavior of blade. Also, the setup is developed for accelerations measurement GY-521 Accelerometer. The accelerometer has kept at free end of blade and accelerations are taken in three directions for each rpm and it is represented in a graphical form. The analysis is carryout for both damaged and undamaged blade. The both studies are carried out using condition monitoring approach to observe their behavior of blade in static & dynamic condition before used in any application.

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“…When the machine is in operation, it will produce vibrations. Voltage signal that correlates to the quantity of vibration and the frequency of vibration produce are generated by vibration sensor when attached to machine (Chaudbury et al 2014).…”

Section: Objectivesmentioning

confidence: 99%

“…Vibration analysis is a method of detecting and analysing a machine's vibration levels and frequency, as well as the conditions of the machines and their components. Vibrations are produced by the machine when it is in use, and it can affect the durability of the machine resulting in issues like damage or anomalous halting (Chaudbury et al 2014). When a vibration sensor is attached to a machine, it will generate a signal that is proportional to the amount of vibration and the frequency of vibration produced.…”

Section: Introductionmentioning

confidence: 99%

“…Because PCs consume a lot of power, they will incur additional charges for electrical power in the event of a power outage (difficult for users to monitor the system) (Olalere et al 2018). Research from Chaudbury et al (2014) has shown that vibration pattern analysis is one of the most effective and successful approaches for fault diagnosis and prognosis of rotating machines. Machine vibration has a welldefined analytical and practical knowledge in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Continuous Vibration Monitoring on Frequency Domain Using Various Sensors

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Manufacturing Industries nowadays are looking for a possible competitive advantage to increase their production line output while lowering costs by adopting condition-based maintenance (CBM). One of the initiatives taken to address this issue is to study the condition monitoring solutions which, are becoming more popular for predicting machine problems through Predictive Intelligence systems in production machines such as motors and drives. This will prevent sudden equipment failures and unscheduled downtime. Tapping the vibration signals at the various section of the motor and drives and analyzing them is one of the most effective methods for preempting and early detection of equipment failures. Vibration analysis is a process that detects a machine's vibration level and frequency and then analyses the machine and its components' health conditions. The development of IoT-based machines and drive vibration sensor detection helps to increase production efficiency by minimizing unscheduled machine downtime. The captured vibration signals are analyzed by using Sliding Window Technique to study the variations with respect to the machine speed and running time. Based on the studies, the vibration of a machine increases as the speed of the machine increases but stabilizes over a period. Any continuous abnormal signals denote that the machines warrant further investigations and maintenance.

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Free Vibration Analysis of Rotating Composite Box Beam using GY-521 Accelerometer

Cited by 8 publications

References 8 publications

Research advancements in ocean environmental monitoring systems using wireless sensor networks: a review

Research advancements in ocean environmental monitoring systems using wireless sensor networks: a review

Static & Dynamic Research of Composite Blade using Condition Monitoring Method

Analysis of Continuous Vibration Monitoring on Frequency Domain Using Various Sensors

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