Short-Range Doppler-Radar Signatures from Industrial Wind Turbines: Theory, Simulations, and Measurements
被引:32
作者:
Munoz-Ferreras, Jose-Maria
论文数: 0引用数: 0
h-index: 0
机构:
Univ Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, SpainUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Munoz-Ferreras, Jose-Maria
[1
]
Peng, Zhengyu
论文数: 0引用数: 0
h-index: 0
机构:
Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USAUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Peng, Zhengyu
[2
]
Tang, Yao
论文数: 0引用数: 0
h-index: 0
机构:
Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USAUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Tang, Yao
[2
]
Gomez-Garcia, Roberto
论文数: 0引用数: 0
h-index: 0
机构:
Univ Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, SpainUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Gomez-Garcia, Roberto
[1
]
Liang, Daan
论文数: 0引用数: 0
h-index: 0
机构:
Texas Tech Univ, Dept Civil Environm & Construct Engn, Lubbock, TX 79409 USAUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Liang, Daan
[3
]
Li, Changzhi
论文数: 0引用数: 0
h-index: 0
机构:
Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USAUniv Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Li, Changzhi
[2
]
机构:
[1] Univ Alcala de Henares, Dept Signal Theory & Commun, E-28871 Alcala De Henares, Spain
Industrial wind turbines are large constructions that require in-field monitoring. In this paper, short-range Doppler radar signatures of wind turbines are both mathematically analyzed and practically verified through simulations and experiments. Two custom-designed radar prototypes that operate at the C and K bands, respectively, are employed in the acquisition campaign. The unique features of the radar signal-in particular, some observed energetic flashes in the time-Doppler map-appear as curved lines for specific acquisition scenarios and/ or for nonstraight blades. Furthermore, it is demonstrated that the use of high-frequency radar systems is beneficial in terms of improved spectrogram resolution. Experimental results coming from a 50-m-height wind turbine and a curved-blade 12-m-height turbine are also discussed, in this paper, in the context of the provided theoretical and simulation frameworks. This paper paves the way for noncontact structural health monitoring of industrial-type wind turbines through portable low-cost Doppler radar sensors.