Diagnostics Technology
Thursday 11th November 2010, 1500hrs–1600hrs
Chaired by Lyn Markus Giersch Machinery, Power, and Logistics Systems Technology Development to Support Energy Efficiency in the US Navy Dr. Stephen Mastro, Naval Sea Systems Command (Philadelphia), United States In Fall of 2009, the Secretary of the United States Navy, Ray Maybus, made official a focused target of technology and operational development: Energy policy was to be a focused area of high priority. While energy policy has always been a subject of Navy R&D and operational efforts, Secretary Maybus put defined goals and concepts forth to guide progress Navy wide. The vision of these efforts has three pillars: energy security, energy efficiency, and environmental stewardship. As with other worldwide efforts in this realm, the US Navy is examining concepts of conservation, efficiency of operation, use of alternative fuels and energy sources, and operational concepts to determine their applicability, technical and financial ramifications, and the relationship between these concepts with various platforms and shore-based systems. The Naval Sea Systems Command (NAVSEA), and its field activities, along with the Office of Naval Research (ONR) are engaged in programs that address Naval machinery, power systems, hull and mechanical systems, and operational logistics systems to address the Navy’s priorities in energy policy. This paper will address the overall Department of Navy energy policy, its strategic approach, and specific technological and operational developments currently underway to address this strategy. Barriers to Executing Prognostics in the Navy and the Way Ahead Mr. Michael Dipilla, Naval Sea Systems Command (Philadelphia), United States The basis for any approach to the application of CBM enabling technologies – including prognostics is based in Reliability Centered Maintenance (RCM) engineering discipline. RCM provides the framework for identifying those maintenance tasks – including the application of technologies that are applicable and effective. In this context, “applicable” is defined as the task or technology actually accomplishes what it is was intended to do, while ‘effective’ means that the task / technology pays for itself – the cost of applying the task/technology is less than allowing a run to failure. A number of analysis, starting from the original Nowlan & Heap’s (United Airlines) Reliability Centered Maintenance and subsequent supported by international and U.S. Navy studies, indicate that the probability of failure over time for most systems is constant, resulting in random failures – not subject to an increased probability over time as may be assumed by some approaches to porgnostics. The failure probability distribution / profiles for systems components need to be accounted for in the design and application of prognostics systems. For example – a simple component in a system – such as a filter, or a catalytic converter – is well suited to prognostics – but, only if we have a reasonable forecast of the future operating profile of the system that it services. This reality points to an additional challenge in prognostics design: the ability to forecast future operating profiles – particularly challenging in a naval environment with varying operational load & duration tempos. This paper will reflect on several instances where CBM prognostic applications have been inserted both onboard platforms and at shore test facilities and the difficulties associated with validation and verification of a particular solution. One such difficulty lies in the intermittent nature of operations demonstrated by Navy vessels, making it difficult to see continuous degradation. This paper will expose the reader to issues with validation and verification testing required of advanced diagnostic routines and prognostics prior to fielding the applications and the inability or expense in simulating or stimulating actual failure modes. Potential solutions to mitigate these problems will be discussed through use of advanced data mining applications applied to historical data sets. Recent development within other industry sectors such as healthcare are turning to techniques like Survival Analysis to chart how it looks over the population community to assist in this dilemma. These approaches will be discussed with an eye on using standard metrics such as: Cost of System, Cost Saving, Operational availability (Ao) reduction and MTBF. Simulations of Landing Craft Motions in Shallow Water Mr Terry Turner, Defence Science and Technology Organisation (DSTO), Australia Particularly critical to the safe operation of landing craft is their stability and
seakeeping behaviour in the shallow water as they deliver /retrieve cargo to/from a
beach. It is known that landing craft hull forms behave differently typical monohulls,
and that the risk of capsize is increased, in shallow water as compared to deep water.
DSTO has been undertaking a research program to develop a numerical capability to
model the motions of a landing craft in both deep and shallow water. Once fully
developed this capability can be implemented in various simulation training tools that
can then be utilised by the landing craft operators to ensure that any future
amphibious operations are preformed at the highest level of safety. This paper will
outline the outcomes from the current research program and provide an overview of
the simulation based training for landing craft operators.
MAST timetable
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Diamond Industry Patron
I met people in my area of expertise to discuss research.
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Sarah Louise Donovan
Maritime Human Factors Research Scientist, DSTO
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