Reliability analysis and integrity management of instrumented buoy moorings for monitoring the Indian Seas

Venkatesan, R.; Vedachalam, N.; Murugesh, P; Kaliyaperumal, P; Ck, Kalaivanan; Gnanadhas, T; Ma, Atmanand

doi:10.3723/ut.33.115

Cited by 17 publications

(5 citation statements)

References 15 publications

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“…The FTA results shown in Figure 8 indicate a PoF of 14.7% (Gate Or7) under extreme weather conditions, and this corresponds to an MTBF of 6.3 years. The FTA also indicates an MTBF of 11.1 years under normal environmental conditions (Venkatesan et al, 2015c), which indicates further scope for improvements. In the fault trees, shaded event boxes with triangles indicate the presence of downstream events, which is compressed for ease of representation ( Figure 8).…”

Section: Mooringmentioning

confidence: 84%

“…The mooring hardware failures included damages in the nylon wire rope interface, polypropylene rope, material corrosion, biofouling. and mooring walk under extreme environmental conditions (Venkatesan et al, 2015c(Venkatesan et al, , 2017a(Venkatesan et al, , 2017b. Results indicate an average MTBF of 6.1 years and an annual avail-ability of 99.7% for the FRACASrecorded MTTR period of 7 days (Venkatesan et al, 2015d).…”

Section: Mooringmentioning

confidence: 97%

See 1 more Smart Citation

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Venkatesan¹,

Vedachalam²,

Muthiah³

et al. 2018

mar technol soc j

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Over the past two decades, the Indian Ocean moored surface buoy observation networks have expanded in the spatiotemporal domain and technologically matured with system reliability, availability, cost optimization, and precision measurement of meteorological and oceanographic parameters as the key targets. Based on the return of experiences in the development, operation, and maintenance of the moored buoy observation networks over two decades, this paper for the first time summarizes the reliability metrics achieved by the National Institute of Ocean Technology (NIOT)-operated moored buoy networks, the healthiness monitoring interval implemented to achieve the highest level of on-demand reliability, the methodologies adopted to ensure highest possible system availability, and data returns. The tsunami buoy network with two buoys and the meteorological buoy with cyclone tracking sensors are found to have a mean time between failure of 1.27 years and 0.5 years, respectively. The identified performances provide a baseline for defining the technical improvement targets, identifying alternate technologies, incorporating redundancies, cost optimization, and maintenance planning. The approach serves as a reference for reliability assessment and integrity management of similar moored buoy ocean observation networks and for evolving standards for oceanographic systems.

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Section: Mooringmentioning

confidence: 84%

Section: Mooringmentioning

confidence: 97%

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Venkatesan¹,

Vedachalam²,

Muthiah³

et al. 2018

mar technol soc j

View full text Add to dashboard Cite

show abstract

“…Available online at: https://www.jcomm. info/index.php?option=com_content&view=article&id=90 meet the IEC 61508 safety reliability and Safety Integrity Level (SIL 4) (Venkatesan et al, 2015b).…”

Section: Introductionmentioning

confidence: 99%

Best Practices for the Ocean Moored Observatories

et al. 2018

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Real-time spatio-temporal meteorological and oceanographic data, from the Ocean moored observatories, are essential for the precise forecast of the ocean state, climate variability studies and reliable weather prediction. Precise spatio-temporal measurement of subsurface parameters such as temperature, salinity and current are essential to understand the intra-seasonal and inter-annual evolution of monsoons and tropical cyclones. To cater to this time-critical information, moored observatories have to continuously be operational in the harsh marine environment to measure these essential ocean variables. However, bio-fouling and corrosion limits the life time and accuracy of the highly precise measuring instruments. Thus, best practices in these moored observations are essential for long term accurate and cost-effective ocean observation. The Indian moored buoy network which has been operational since 1997, has been providing quality data over the past decade. This paper describes the best operational practices and quality control processes followed in the Indian moored buoy system design, sensor calibration, testing, integration, deployment, retrieval, and data quality control over the past two decades, which has helped to achieve an average meteorological data return of 90%.

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“…Studies of safety integrity for buoys, moorings and remotely operated underwater robots is presented (Vedachalam et al, 2016), (Venkatesan et al, 2014), (Venkatesan et al, 2015) but these do not apply to MUSVs. To this date no concerted effort has been proposed which attempts to inject transparency in to the safety integrity claim for a MUSV.…”

Section: Marine Autonomous Systems Integritymentioning

confidence: 99%

Towards building a safety case for marine unmanned surface vehicles: A Bayesian perspective

Brito¹

2017

Safety and Reliability – Theory and Applications

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Marine Unmanned Surface Vehicles (MUSVs) are essential platforms for persistent and adaptable ocean monitoring and sampling. In order to operate these platforms in coastal areas or near oil and gas waters the MUSVs must meet statutorily and industry safety requirements. Given the novelty of these platforms, there is lack of evidence to support the claim that a given safety target can be met without any additional protection.Therefore, for safety critical operations, MUSVs require the implementation of a safety function. The development of a safety function must comply with IEC61508 safety standard, which requires a quantification of the safety integrity level. Compliance to IEC61508 is subject to subjective uncertainty. The nature of the technology in terms of mode of operation and the environment in which operates exacerbates this uncertainty. This paper presents a Bayesian belief network for formalizing the safety arguments underpinning MUSV compliance to IEC 615078 safety standard. 1 INTRODUCTION

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Reliability analysis and integrity management of instrumented buoy moorings for monitoring the Indian Seas

Cited by 17 publications

References 15 publications

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Best Practices for the Ocean Moored Observatories

Towards building a safety case for marine unmanned surface vehicles: A Bayesian perspective

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