Notice of Retraction Failure analysis for the mechanical system of autonomous underwater vehicles

Abstract

Abstract-This paper analyzed the reliability of the mechanical system of a new conceptual Autonomous Underwater Vehicle (AUV) using FMECA and FTA method. In the FMECA procedure, the failure modes were studied by analyzing their effects and criticalities. Then, the fault tree was built. The research was carried out in both qualitative and quantitative analysis of FTA. Using aforementioned methods, the probability of the top event, the structural and critical importance coefficients of the bottom events were performed. Finally, the failure modes of this AUV mechanical system were sequenced according to the severity and the criticality and list of the critical components was presented as well. The reliability-improving suggestions provided in the paper can be used in further reliability design and structural improvement of AUV or other similar UUV mechanism.

A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles

“…Qualitative Safety layer method (Ortiz et al, 1999) Semiquantitative Risk management process (Griffiths and Trembanis, 2007;Brito et al, 2010;Griffiths and Brito, 2011;Thieme et al, 2015a) Fault tree analysis (Bian et al, 2009a, b;Hu et al, 2013;Xu et al, 2013;Aslansefat et al, 2014;Thieme et al, 2015a;Brito, 2016;Harris et al, 2016;Xiang et al, 2017;Brito and Chang, 2018) Event tree analysis (Thieme et al, 2015a; Failure Mode and Effects Analysis (Hu et al, 2013;Harris et al, 2016) Bow-tie model (Yu et al, 2017) Kaplan-Meier survival model (Brito et al, 2010;Brito et al, 2014a;Brito and Griffiths, 2016) Fuzzy set theory (Loh et al, 2019;Loh et al, 2020a;Loh et al, 2020b;Xu et al, 2020) Quantitative Bayesian belief network (Griffiths and Brito, 2008;Thieme et al, 2015b;Brito and Griffiths, 2016;Hegde et al, 2018;Bremnes et al, 2019) Markov chain (Brito and Griffiths, 2011;Griffiths and Brito, 2011) System dynamics Loh et al, 2020a;Loh et al, 2020c, b;Xu et al, 2020) Fig. 7.…”

“…FMEA is a recommended method for the underwater robotic industry to identify the componentlevel failures and their effects on the system (Veritas, 2003;Aktiengesellschaft, 2009;Harris et al, 2016). For instance, FMEA was applied to analyze different failure modes for an AUV mechanical system (Hu et al, 2013). Key components including the sealing elements and hermetic hulls were identified, which have the greatest impact on mechanical system failure.…”

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

“…Numerous eventualities, including the failure of non-replaceable parts and the recovery of parts for which replacement parts are available, were taken into consideration based on the previously constructed FTs. The probability of failure for each basic event was determined by consulting various sources [89][90][91][92][93]. Every 50 h scenario entails completing four predetermined missions repeatedly.…”

A data-driven UUV decision-making test strategy design method

“…Sensors such as depth gauge, attitude gyroscope, sonar, inertial navigation and Doppler log are faulty, resulting in a large deviation in the sensor signal (including analog signals or digital signals) detection value [10] . As a result, errors occur in the control of the various executive agencies by the control system.…”