Use of magnetic monitoring of vehicles for proactive strategy development

Gontarz, Szymon; Szulim, Przemysław; Seńko, Jarosław; Dybała, Jacek

doi:10.1016/j.trc.2014.12.007

Cited by 27 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a vehicle with a certain speed passing on a road, it leads to perturbations of the local magnetic fields. The vehicle can be seen as a magnetic dipole [18]. Fig.…”

Section: A Magnetic Dipole Modelmentioning

confidence: 99%

See 1 more Smart Citation

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

Feng

Mao

Cheng

et al. 2019

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

View full text Add to dashboard Cite

Internet of Things (IoT) is playing an increasingly important role in Intelligent Transportation Systems (ITS) for real-time sensing and communication. In ITS, the velocity of vehicles provides important information for traffic management. However, the present methods for monitoring vehicle speed have many shortcomings. In this paper, we propose MagSpeed, a novel vehicle speed estimation method based on a small magnetic sensor. The developed magnetic sensor system is wireless, cost-effective, and environmental-friendly. Through modelling of local magnetic field perturbations caused by a moving vehicle, we extract the characteristics of magnetic waveforms for speed estimation. In addition, we compare the performance of the models with other speed estimation algorithms, which shows the superior accuracy of the proposed technique in speed estimation.

show abstract

“…For a vehicle with a certain speed passing on a road, it leads to perturbations of the local magnetic fields. The vehicle can be seen as a magnetic dipole [18]. Fig.…”

Section: A Magnetic Dipole Modelmentioning

confidence: 99%

“…Measurements in real road condition are full of background noise and are affected by earth's magnetic field. [18] It makes the signals hard to distinguish the passing vehicles. So a low pass filter is used to make the waveforms pure and clear.…”

Section: Signal Processing Modelmentioning

confidence: 99%

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

Feng

Mao

Cheng

et al. 2019

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

View full text Add to dashboard Cite

show abstract

“…Two longitudinally spaced sensor nodes are required to estimate vehicle speed in the system ( Figure 1 ). The most accurate results possible are obtained by deploying sensors that are further away from each other [ 5 , 14 ]. However, too long of a distance between the sensors involves a risk of signal distortion, which may be caused by a vehicle maneuver.…”

Section: Speed Estimationmentioning

confidence: 99%

Practical Methods for Vehicle Speed Estimation Using a Microprocessor-Embedded System with AMR Sensors

Markevičius

Navikas

Idźkowski

et al. 2018

Sensors

View full text Add to dashboard Cite

The proper operation of computing resources in a microprocessor-embedded system plays a key role in reducing computing time. Processing the variable amount of collected data in real-time improves the performance of a microprocessor-embedded system. In this regard, a vehicle’s speed measurement system is no exception. The computing time for evaluating any speed value is expected to be reduced as much as possible. Four computational methods, including cross-correlation, are discussed. An exemplary pair of recorded signals presenting the change in magnetic field magnitude is analyzed. The sample delay values are compared. The results of the evaluated speed and the execution time of the program code are presented for each method based on a dataset of 200 randomly driven vehicles. The results of the performed tests confirm that the cross-correlation-based methods are not always reliable in situations when the sample size is small, i.e., it is a segment of the impulse response caused by a driving vehicle.

show abstract

“…As a result, there is a constant pressure on research and development of reliable techniques for detection of technical condition of systems. Among various research activities one can recall: the use of new techniques of signal processing [1][2][3], the application of new measurement strategies [4,5] such as sensors embedded in structure [6] or the use of different physical phenomena for the detection of early stages of failures [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Teager-Kaiser energetic trajectory for machine diagnosis purposes

Gałęzia¹

2017

J. vibroeng.

View full text Add to dashboard Cite

Increased requirements regarding safety, reliability and early detection of failures of industrial machines stimulate the development of new methods and tools for purposes of condition monitoring. The paper presents original concept of the Teager-Kaiser energetic trajectory representing an examined signal on the Teager-Kaiser energy plane. The Teager-Kaiser energetic trajectory illustrates simultaneously changes of instantaneous values of the Teager-Kaiser energy indicator and the velocity of change of the energy indicator.At the beginning of the paper, the Teager-Kaiser energetic trajectory is presented and described followed by examples of trajectories of simulated signals. In the next section, the author presents and discusses the model of signal simulating occurrence of a failure in a gearbox. Finally, the paper presents representations of signals recorded form gearbox during fatigue tests. The paper concludes with the discussion on application options of the Teager-Kaiser energetic plane in condition monitoring of rotation machinery.

show abstract

Use of magnetic monitoring of vehicles for proactive strategy development

Cited by 27 publications

References 22 publications

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

Practical Methods for Vehicle Speed Estimation Using a Microprocessor-Embedded System with AMR Sensors

Teager-Kaiser energetic trajectory for machine diagnosis purposes

Contact Info

Product

Resources

About