TLP Structural Health Monitoring Based on Vibration Signal of Energy Harvesting System

Abstract

Structural Health Monitoring (SHM) of Tension Leg Platform (TLP) is very crucial for preventing catastrophic and sudden collapse of the structures. One of the methods of monitoring these structures is implementing SHM sensors. Supplying energy for these sensors for a long period is a challenging problem. So, one of the new methods of supplying energy for SHM, is usage of mechanical energy. In this method, the piezoelectric material is employed to convert the mechanical energy which is resulted from vibration of structure, to electrical energy. The advantage of this method is based on not implementing the battery charging system. Therefore, in this paper, after modeling TLP structure, energy supplying of these sensors with piezoelectric converters is studied. Furthermore, fault diagnosis of these structures in the presence of different uncertainties is proposed by the features of voltage signal, produced from piezoelectric patches and fuzzy classification method. Results show that this method can diagnose faults of the structure with an acceptable success rate.

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

“…To evaluate the effectiveness of a model, specific test scenarios are needed, and different models require different methods [33][34][35][36][37][38][39][40][41][42][43]. To test the effectiveness of the designed model, the program was coded in Code Vision at the mechatronics lab of Rayan Shid Nama Eng.…”

Multisensory collaborative damage diagnosis of a 10 MW floating offshore wind turbine tendons using multi-scale convolutional neural network with attention mechanism

“…The dynamic response of the 10 MW FOWT structure which consists of a cylindrical platform's base (Upper Tank), a ballast tank (Lower Tank) connected by tendons (6) and the mooring lines for station-keeping are simulated as a coupled system. This is done to obtain the requisite datasets for different tendon damage scenarios needed for the damage diagnosis and PHM.…”

“…Consequently, intelligent damage diagnosis of tendons including damage localization and quantification is crucial to reducing the maintenance costs [2], [3], [4]. For example, lack of early damage diagnosis of tendons in the first-generation tension leg (TLP) platform has been responsible for tendons' failure and total collapse of the platform [5 ] , [6 ] , [7 ]. Although modern tension leg platforms are fitted with different kinds of diagnostic tools, recent experience and practice show that these tools cannot be effectively used to diagnose the tendons of FOWTs due to fundamental differences in their operating principles.…”

Structural health monitoring of tendons in a multibody floating offshore wind turbine under varying environmental and operating conditions

“…Offshore structures operate under varying Environmental and Operating Conditions (EOCs) such as wind speed (WS), significant wave height (SWH), current, temperature and others, which partially or fully "mask" the effects of damages on the structural dynamics, rendering SHM highly challenging [1][2][3][4]. The SHM of tendons [5][6][7][8], mooring lines [9][10][11][12][13], offshore platforms [14][15][16][17][18][19][20][21] and OWT towers [21][22][23], has been mostly investigated albeit under constant EOCs. However, the realistic case of varying EOCs that significantly affects the structural dynamics and makes SHM difficult, has been considered only in a limited number of studies [1][2][3][24][25] with focus mostly on platforms and towers of OWTs.…”