Detection of mooring line failures using Dynamic Hypothesis Testing

被引:12
|
作者
Hassani, Vahid [1 ,2 ,3 ]
Pascoal, Antonio M. [4 ]
Sorensen, Asgeir J. [1 ,2 ]
机构
[1] Norwegian Univ Sci & Technol, Ctr Autonomous Marine Operat & Syst AMOS, Trondheim, Norway
[2] Norwegian Univ Sci & Technol, Dept Marine Technol, Trondheim, Norway
[3] SINTEF Ocean, Trondheim, Norway
[4] Univ Lisbon, ISR, IST, LARSyS, Lisbon, Portugal
基金
欧盟地平线“2020”;
关键词
Mooring line breakage; Fault detection; Dynamic positioning; Position mooring; Dynamic hypothesis testing; POSITIONING CONTROL-SYSTEMS; OUTPUT-FEEDBACK CONTROL; OBSERVER DESIGN; ADAPTIVE-CONTROL; SHIPS; VESSELS;
D O I
10.1016/j.oceaneng.2018.01.021
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This article proposes a novel methodology for the detection of mooring line breakage in thruster assisted position mooring (PM) systems, when no measurements of the tensions on the mooring lines are available. For dynamic positioning (DP) of marine vessels moored to the seabed via a turret-based spread mooring system, thrusters provide only complementary assistance to the mooring system, which is responsible for generating a large part of the forces and moments required for station keeping. However, in extreme weather conditions thruster assistance is essential to avoid mooring line failure. Once a mooring line is parted, the remaining lines must withstand an increase in the tension forces required to compensate for the lost tension in the ruptured line. This in turn may lead to a cascade breakage of the mooring lines. Hence, it is of paramount importance to detect any line breakage as soon as it occurs to compensate for the lost tension by proper use of DP thruster assistance. As a contribution to solving this problem, in this paper we propose a methodology that builds on Dynamic Hypothesis Testing (DHT) whereby a set of hypotheses are assessed, at each sampling time, using the measured inputs and outputs of the thruster assisted position mooring system. While the first hypothesis corresponds to the assumption that all mooring lines are intact, the remaining hypotheses are built assuming that a single, or multiple line breakage events have taken place. At each sampling time, the inputs and outputs to the system are used to generate the conditional probability of each hypothesis being true. The conditional probabilities are then used to evaluate which hypothesis is more probable to be compatible with the collected measurements. In addition, we find conditions for any pair of hypothesis to be distinguishable. Numerical simulations, carried out using a high fidelity nonlinear PM simulator, illustrate the efficiency of the proposed methodology.
引用
收藏
页码:496 / 503
页数:8
相关论文
共 50 条
  • [41] EARLY DETECTION OF FAILURES BY ANALYSIS OF DYNAMIC SIGNALS
    LIEWERS, P
    KERNENERGIE, 1984, 27 (02): : 58 - 66
  • [42] Statistical fault detection using PCA-based GLR hypothesis testing
    Harrou, Fouzi
    Nounou, Mohamed N.
    Nounou, Hazem N.
    Madakyaru, Muddu
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2013, 26 (01) : 129 - 139
  • [43] Sybil Attack Detection using Sequential Hypothesis Testing in Wireless Sensor Networks
    Vamsi, P. Raghu
    Kant, Krishna
    2014 INTERNATIONAL CONFERENCE ON SIGNAL PROPAGATION AND COMPUTER TECHNOLOGY (ICSPCT 2014), 2014, : 698 - 702
  • [44] DETECTION OF AN EMERGING NEW CLASS USING STATISTICAL HYPOTHESIS TESTING AND DENSITY ESTIMATION
    Park, Cheong Hee
    Shim, Hongsuk
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2010, 24 (01) : 1 - 14
  • [45] CALIBRATION OF MOORING LINE DAMPING FOR TAUT-LEG FPSOS MODEL TESTING
    Fernandes, Antonio C.
    de Oliveira, Allan Carre
    Mineiro, Fabio P. S.
    Sales, Joel S.
    Rosa, Andre Luis
    Ramiro, Andre
    OMAE 2008: PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING - 2008, VOL 1, 2008, : 655 - 662
  • [46] Detection of Interest Flooding Attacks in Named Data Networking using Hypothesis Testing
    Nguyen, Tan N.
    Cogranne, Remi
    Doyen, Guillaume
    Retraint, Florent
    2015 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS), 2015,
  • [47] A study of LOCC-detection of a maximally entangled state using hypothesis testing
    Hayashi, Masahito
    Matsumoto, Keiji
    Tsuda, Yoshiyuki
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2006, 39 (46): : 14427 - 14446
  • [48] Damage detection of catenary mooring line based on recurrent neural networks
    Lee, Kanghyeok
    Chung, Minwoong
    Kim, Seungjun
    Shin, Do Hyoung
    OCEAN ENGINEERING, 2021, 227
  • [49] On-line Arabic handwriting text line detection using dynamic programming
    Elanwar, Randa I.
    Rashwan, Mohsen A.
    Mashali, Samia A.
    World Academy of Science, Engineering and Technology, 2011, 50 : 582 - 587
  • [50] DYNAMIC ANALYSIS OF AN OFFSHORE FISH FARM INTEGRATED WITH A FLOATING OFFSHORE WIND TURBINE USING SHARED MOORING LINE
    Ma, Yu
    Li, Lin
    Ong, Muk Chen
    Jin, Jingzhe
    Su, Biao
    PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 4, 2023,