Feature Comparison in Structural Health Monitoring of a Vehicle Crane

Kullaa, Jyrki; Heine, Tobias

doi:10.1155/2008/841715

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Remote monitoring technology is widely used in industrial production site, which can monitor the operating state of equipment in real time. In recent years, with the development of artificial intelligence, remote monitoring of port cranes can be easily realized, which greatly improves the efficiency of troubleshooting equipment and ensures the normal operation of equipment [1], [2].…”

Section: Introductionmentioning

confidence: 99%

A Port Crane Strain Measurement System Using Integrated Foil Gauge

2019

Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering

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A strain measurement system is designed to realize real-time monitoring of port crane strain and estimate the fatigue life of port crane. On the hardware side,the differential input of weak signal of ST350 strain sensor is realized by high-precision amplifier AD620, and the interference is filtered by two-stage filter. On the software side, the strain measurement system is developed based on C#.The system can acquire data and store it to the SQL Server database. 8-level load spectrum of port crane is compiled based on MATLAB to estimate the fatigue life of port crane.The interface program is written by VB.net to transmit the acquired data to the PI System. The PI System canstore the data andpublish the conditionof port crane to the web page.The test results show that the performance of strain measurement system real-timeis good, the accuracyof the integrated foil gauge is good, the fatigue life of port crane can be effectively estimated.

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Section: Introductionmentioning

confidence: 99%

A Port Crane Strain Measurement System Using Integrated Foil Gauge

2019

Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering

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“…In Kullaa and Heine (2008) the coefficients of the auto-regressive model and the transmissibilities were studied as damage-sensitive features. Based on experimental response data from multichannel measurements using acceleration sensors their ability to detect damages in a vehicle crane was compared.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Autonomous Damage Detection by Means of Modal Fingerprints

Perner

Muller

Sinapius

et al. 2010

Journal of Intelligent Material Systems and Structures

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This article discusses whether elastic and plastic impacts and scratches caused by applied forces (e.g., car bump, key scratch etc.) to a parked vehicle can be distinguished by an autonomous system. The authors assume that a force impact to a vehicle stimulates characteristic frequencies in the vehicle body shell components that can be used to distinguish the given damages. Eight piezoelectric film sensors made of polyvinylidene fluoride mounted at the inside of the vehicle body shell components doors, bumpers, bonnet, and tailgate are used as the sensing element. An experimental modal analysis of several vehicle components is performed to identify characteristic frequencies. The results are used to compute the best sensor position in order to detect all considered eigenfrequencies of the component. A constructed model set up for force generation was used to record reference data. Derived features of the reference signals are computed and assessed to their relevance of distinguishing the damages on the vehicle.

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