Parametric roll resonance monitoring using signal-based detection

Abstract

Extreme roll motion of ships can be caused by several phenomena, one of which is parametric roll resonance. Several incidents occurred unexpectedly around the millennium and caused vast fiscal losses on large container vessels. The phenomenon is now well understood and some consider parametric roll a curiosity, others have concerns. This study employs novel signalbased detection algorithms to analyse logged motion data from a container vessel (2800 TEU) and a large car and truck carrier (LCTC) during one year at sea. The scope of the study is to assess the performance and robustness of the detection algorithms in real conditions, and to evaluate the frequency of parametric roll events on the selected vessels. Detection performance is scrutinised through the validation of the detected events using owners' standard methods, and supported by available wave radar data. Further, a bivariate statistical analysis of the outcome of the signal-based detectors is performed to assess the real life false alarm probability. It is shown that detection robustness and very low false warning rates are obtained. The study concludes that small parametric roll events are occurring, and that the proposed signal-based monitoring system is a simple and effective mean to provide timely warning of resonance conditions.

On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships

“…70–74 The largest and the most homogenous group of papers, consisting of 11 publications, relate to methods for parametric roll detection. 75–85 Another group of ten documents mainly cover studies on the complex motions of a ship, including the examination of her vulnerability to dynamic phenomena identified as dangerous. 86–95 The remaining two papers discuss other related phenomena and techniques applicable for the stability assessment.…”

A Real-Time Detection System for the Onset of Parametric Resonance in Wave Energy Converters

“…A key component for such a system is a monitoring and detection system, to give an early warning. Such early warning systems have already been developed for ships [51][52][53][54][55][56][57], enabling the crew to take corrective measures such as speed and/or course changes to avoid the occurrence of parametric roll. However, to date, no such early warning system has been developed for a WEC.…”

Real-time detection of transverse stability changes in fishing vessels

“…Statistical change detection has proven to be a successful methodology for the design of condition monitoring systems whenever timely decision under uncertainty and robustness are paramount. Examples of such systems are offered by Galeazzi et al (2013Galeazzi et al ( , 2015 for the real-time monitoring of parametric roll resonance on merchant vessels; Fang et al (2015) for the timely detection of faults in mooring systems of offshore floating platforms; Willersrud et al (2015) for the robust detection of drillstring washouts during drilling operation for oil and gas; Hansen and Blanke (2014) for the real-time detection of airspeed sensor faults in unmanned aerial vehicles; Ghane et al (2018) for wear detection in the downwind main shaft bearing of a spar-type floating wind turbine; Pradhan and Gupta (2017) for the detection of incoming vessels by measuring the ambient noise to enhance security of port and offshore operations.…”