Effects of Environmental Influences on Active Thermography to Detect the Inner Structures of Wind Turbine Rotor Blades

Schwahlen, Daniel; Handmann, Uwe

doi:10.1109/sustech.2018.8671329

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…Active thermography provides a heat source to a material, and uses the additional heat to characterize it [8,9]. The drawback of active thermography in the field is that any induced temperature differences can be overshadowed or eliminated by atmospheric conditions [10]. Passive thermography does not provide a heat source, but rather exploits any preexisting temperature difference in a material.…”

Section: Motivation and Significancementioning

confidence: 99%

Aquada Gui: A Graphical User Interface for Automated Quantification of Damages in Composite Structures Under Fatigue Loading Using Computer Vision and Thermography

Spencer

Sheiati

Chen

2023

Preprint

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Section: Motivation and Significancementioning

confidence: 99%

Aquada Gui: A Graphical User Interface for Automated Quantification of Damages in Composite Structures Under Fatigue Loading Using Computer Vision and Thermography

Spencer

Sheiati

Chen

2023

Preprint

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“…Detecting faults in the inner constructions of wind turbine rotor blades using active thermographic inspection was also discussed in Schwahlen and Handmann. 27 Apart from the conditioning monitoring of electrical systems, other applications 28 in which thermography has been successfully employed include gas detection, civil infrastructure inspection, surveillance, agriculture, aviation and the nuclear industries.…”

Section: Thermographymentioning

confidence: 99%

“…Detecting faults in the inner constructions of wind turbine rotor blades using active thermographic inspection was also discussed in Schwahlen and Handmann. 27…”

Section: Various Predictive Maintenance Techniquesmentioning

confidence: 99%

A heuristic approach on predictive maintenance techniques: Limitations and scope

Shukla

Nefti‐Meziani

Davis

2022

Advances in Mechanical Engineering

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In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-making processes have become a crucial requirement in today’s manufacturing industries to safeguard data exchange and industrial assets from damage that would thus prevent the achievement of overall company goals. For enhanced reliability and safe operation of machines, frequent maintenance of the process equipment and the linked auxiliaries in a plant is highly desirable. Poor maintenance of assets can add to downtime, which can in turn affect the overall cost-effectiveness of the plant. With traditional maintenance strategies and planned or timed-based maintenance, one replaces the faulty systems when they are found to be damaged or broken. However, an early and proactive prediction of machine or equipment fault and failure state enables the industry to take the necessary action to replace the faulty system well before it stops operating entirely. This paper briefly reviews the available predictive maintenance techniques for different applications from the perspective of Industry 4.0. Furthermore, the associated challenges and opportunities are identified and discussed.

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“…Schwahlen et al [14,15], using a thermal imager instrument to detect the wind turbine blade segment indoors, realized the effective observation of the internal structure, and analyzed the in uence of relative humidity and air ow on the detection. Doroshtnasir and other [16] monitor the operating wind turbine blades at a long distance based on infrared thermal image technology, realizing the detection and positioning of surface wear.Therefore, using infrared nondestructive testing technology to detect the damage of wind turbine blades needs further development and research.…”

Section: Introductionmentioning

confidence: 99%

Research on infrared nondestructive testing and thermal effect analysis of small wind turbine blades under natural excitation

Wang

2023

Infrared Physics & Technology

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Effects of Environmental Influences on Active Thermography to Detect the Inner Structures of Wind Turbine Rotor Blades

Cited by 8 publications

References 2 publications

Aquada Gui: A Graphical User Interface for Automated Quantification of Damages in Composite Structures Under Fatigue Loading Using Computer Vision and Thermography

Aquada Gui: A Graphical User Interface for Automated Quantification of Damages in Composite Structures Under Fatigue Loading Using Computer Vision and Thermography

A heuristic approach on predictive maintenance techniques: Limitations and scope

Research on infrared nondestructive testing and thermal effect analysis of small wind turbine blades under natural excitation

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