In-Service Vibration Monitoring of a Tall Building Structure Using Wireless Sensor Networks

2014 ◽  
Author(s):  
Siavash Dorvash ◽  
Shamim Pakzad ◽  
Clay Naito
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Tall Building ◽  
Vibration Monitoring ◽  
Wireless Sensor ◽  
Building Structure

scholarly journals Research on vibration monitoring and fault diagnosis of rotating machinery based on internet of things technology

2021 ◽  
Vol 10 (1) ◽  
pp. 245-254
Author(s):  
Xiaoran Zhang ◽  
Kantilal Pitambar Rane ◽  
Ismail Kakaravada ◽  
Mohammad Shabaz
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Diagnosis ◽  
Internet Of Things ◽  
Machine Learning Algorithms ◽  
Vibration Monitoring ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks ◽  
Industrial Automation ◽  
Internet Of Things Technology

Abstract Recently, researchers are investing more fervently in fault diagnosis area of electrical machines. The users and manufacturers of these various efforts are strong to contain diagnostic features in software for improving reliability and scalability. Internet of Things (IoT) has grown immensely and contributing for the development of recent technological advancements in industries, medical and various environmental applications. It provides efficient processing power through cloud, and presents various new opportunities for industrial automation by implementing IoT and industrial wireless sensor networks. The process of regular monitoring enables early detection of machine faults and hence beneficial for Industrial automation by providing efficient process control. The performance of fault detection and its classification by implementing machine-learning algorithms highly dependent on the amount of features involved. The accuracy of classification will adversely affect by the dimensionality features increment. To address these problems, the proposed work presents the extraction of relevant features based on oriented sport vector machine (FO-SVM). The proposed algorithm is capable for extracting the most relevant feature set and hence presenting the accurate classification of faults accordingly. The extraction of most relevant features before the process of classification results in higher classification accuracy. Moreover it is observed that the lesser dimensionality of propose process consumes less time and more suitable for cloud. The experimental analysis based on the implementation of proposed approach provides and solution for the monitoring of machine condition and prediction of fault accurately based on cloud platform using industrial wireless sensor networks and IoT service.

Combing the Servo Velocity Sensors and the Wireless Sensor Networks: Feasibility Study

2011 ◽  
Vol 121-126 ◽  
pp. 3842-3846
Author(s):  
Yao Chiang Kan ◽  
Hsueh Chun Lin ◽  
Yao Ming Hong ◽  
Min Li Chang ◽  
Chi Chang Lin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Feasibility Study ◽  
Field Measurements ◽  
Wireless Channel ◽  
Vibration Monitoring ◽  
Vibration Measurement ◽  
Wireless Sensor ◽  
Civil Infrastructures ◽  
Distribution Algorithms

Applying the wireless sensor networks (WSN) to bridge vibration measurement not only provides the on-time monitoring but also reduces the cost of wired system significantly. The servo velocity sensors (SVS) are the most popular sensors of vibration measurement for the civil infrastructures such as bridges. In this feasibility study, a mote-integrated converter module is designed and implemented for connecting the SVS and WSN. The major limitation of this application is the low-bit rate wireless transmission. Through several field measurements, the number of nodes in a wireless channel is advised to be two at most and the multiple single hop schemes are suggested for the vibration monitoring applications. Utilizing the WSN to monitor the on-time bridge vibration is feasible and the application can be further optimized by employing the distribution algorithms specific to the vibration measurements.

scholarly journals Wireless Sensor Network for Helicopter Rotor Blade Vibration Monitoring: Requirements Definition and Technological Aspects

2013 ◽  
Vol 569-570 ◽  
pp. 775-782 ◽  
Author(s):  
Andrea Sanchez Ramirez ◽  
Kallol Das ◽  
Richard Loendersloot ◽  
Tiedo Tinga ◽  
Paul Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Failure Modes ◽  
Damage Identification ◽  
Vibration Monitoring ◽  
Wireless Sensor ◽  
Helicopter Rotor ◽  
Vibration Source ◽  
Blade Vibration

The main rotor accounts for the largest vibration source for helicopter fuselage and components. However, accurate blade monitoring has been limited due to the practical restrictions on instrumenting rotating blades. The use of Wireless Sensor Networks (WSNs) for real time vibration monitoring promises to deliver a significant contribution to rotor performance monitoring and blade damage identification. This paper discusses the main technological challenges for wireless sensor networks for vibration monitoring on helicopter rotor blades. The first part introduces the context of vibration monitoring on helicopters. Secondly, an overview of the main failure modes for rotor and blades is presented. Based on the requirements for failure modes monitoring, a proposition for a multipurpose sensor network is presented. The network aims to monitor rotor performance, blade integrity and damage monitoring at three different scales referred to as macro layer, meso layer and micro layer. The final part presents the requirements for WSNs design in relation with sensing, processing, communication and actuation. Finally power supply aspects are discussed.

Sign in / Sign up

Export Citation Format

Share Document