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This paper proposes a novel framework for detecting and localizing the transients corresponding to the shocks created by sediment impacts on a steel plate. Based on unsupervised hierarchical agglomeration of complex vibration spectra, the derived classification is available for bedload transport monitoring stations in underwater environement.
Mechanical systems operating in noisy environments create a challenging signal processing and monitoring problem especially in real-time. To detect a particular type of subsystem from noisy vibration data, it is necessary to identify signatures or particular features that make it unique. Resonant (modal) frequencies emitted during its normal operation satisfy this constraint. Monitoring structural...
This paper proposes a novel approach for machine fault diagnosis using industrial wireless sensor networks (IWSNs) and on-sensor calculation. In this paper, the induction motor and vibration signal are taken as an example of the monitored industrial equipment and signal due to their wide use. The discrete wavelet transform and wavelet energy-moment are used for on-sensor machine fault feature extraction,...
The Model Based Systems Engineering (MBSE) is herein applied to design a physical node for an interconnected system, based upon data exchange. As a test case the concept of smart bearing equipped with sensors to be used to monitor a cold rolling mill is preliminarily developed. The paper focuses on the two activities of inner and outer monitoring of the bearing service. Outer monitoring is aimed at...
This paper proposes a sensorless chatter detection method for a ball screw drive system used in milling, by introducing the mechanical energy factor (MEF). The MEF is an indicator for detecting self-excited chatter, based on the power factor theory used in electric systems, and monitors the phase difference between dynamic cutting force and displacement. By monitoring the MEF, the self-excited chatter...
Industrial Internet of Things (loT) brings more innovation space to the construction machinery industry. However, currently the application of IoT in vibratory roller is mainly reflected on the remote control of asset security and the basic data monitoring of equipment operation. In order to improve the intelligent level of vibratory roller and promote intelligent compaction on road construction,...
This paper presents a novel approach for remaining useful life (RUL) prediction of rotating machinery using hierarchical deep neural networks (DNN). The different health stages are classified by a DNN-based health stage classifier trained by segmented degradation signal. This method builds several RUL predictors based on the health stages of the degradation process. Instead of modeling the entire...
The paper considers the problem of change detection and diagnosis (CDD) in vibration analysis, from the point of view of challenges and solutions. In this framework, Matlab Toolbox VIBROTOOL is presented, implementing functions for change detection and diagnosis in vibration engineering. Compared to other toolboxes in the same domain, Matlab VIBROTOOL Toolbox promotes blind source separation and advanced...
Structural health monitoring plays an important role in protecting civil infrastructures. Smart film bionic monitoring method and video image monitoring method have advantages of high speed and perceptual intuition, so they have been well applied in structural health monitoring. However, the two methods are difficult in detecting structural stress condition and limited in some monitoring aspects....
Before processing, mechanical vibrations need measurement and some raw processing steps are necessary as filtering, digitization and transmission. Examples of specialized equipment and applications are presented and discussed, mainly from technological point of view.
Interlacing is commonly used in textile industries to produce cohesion points (knots) in a multi-filament yarn. The knots distance needs to be controlled on-line since its regularity guarantees a homogeneous appearance of the final fabric. Here, we investigated two techniques for the on-line monitoring of the multi-filament yarn interlacing. The high speed imaging of the yarn motion in an interlacer...
In this work, we propose an object behavior evaluation system based on wireless sensor network. By the behavior information of objects contacted with human, it can evaluate the behavior characteristics of human under the interactions between human and environment, which goes beyond the traditional evaluation methods that directly monitor human themselves. The system can track and monitor the motion...
In this paper, we describe a 920 MHz band long range wireless SAW passive tag system (WSPTS) for vibration monitoring, which achieves more than 10m reading distance. For the purpose of structural health monitoring (SHM) of aging infrastructures (e.g. bridge, building, and so forth), passive wireless sensor systems are an attractive option because they are operated battery-less and almost maintenance...
In this paper, we describe a 920 MHz band long range wireless SAW passive tag system (WSPTS) for vibration monitoring, which achieves more than 15 m reading distance. For the purpose of structural health monitoring (SHM) of aging infrastructures (e.g. bridge, building, and so forth), passive wireless sensor systems are an attractive option because they are operated battery-less and almost maintenance...
A real-time ultrasound (US) coagulation monitoring for coagulation based on acoustic radiation force is described. US imaging to facilitate HIFU has advantages with respect to portability, cost effectiveness and spatiotemporal resolution. Localized motion imaging (LMI) is one of the techniques based on US to detect a change of tissue mechanical properties caused by its thermal coagulation. To achieve...
Rolling element bearings are the essential components of rotating machines, faults of which can cause serious failures or even major breakdowns of a machine. Fault diagnosis deliveries significant benefits to machines with rolling element bearings by finding the faults at early period and taking corrective actions to enhance safe and high performance operations. However, multiple sensor usages and...
In industrial electrical drives has been traditionally employed the technique of analysis the technique of analysis of vibration to detect misalignment between the motor axes and the load. This technique requires the placements of sensors directly on the drive, which makes it difficult to apply. In some cases, it may be impossible to apply (submerged or hard access drives). Recently, as complement...
Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This...
In this paper, through researching principles for the bonded PZT drive and analyzing the second class of piezoelectric force - electric couple, a model along the length of PZT-driven model to the mechanical vibration was established based on continuum dynamics. The interaction between the PZT and the structure of the bonding layer was the key factor during investigation. Followed by construction of...
For reducing effect of energy production on the climate change, renewable energy sources play a very important role in the global energy mix. Wind energy has the largest share in the renewable energy technologies with approximately 433 GW of globally installed capacity as of 2015. Share of power production through Wind Turbine (WT) technique is growing day by day and there is an urgent need to control...
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