We think it is fair to say that Asset Performance Management (APM) represents the future of our industry in managing marine assets. In this article, we will review the reliability methodologies that are applicable for asset performance management (APM) and propose a process for deploying the appropriate tools at the appropriate stages catered towards the regulated maritime and marine offshore industries....
When people take a detailed tour of a real Machine Learning (ML) system for the first time, they are often disappointed. We know that we was. Data on expensive, high consequence failures would be particularly valuable to us, because we may be able to prevent those failures from happening, or it may be possible to reduce the (high) cost of maintenance if we can do it differently. The problem (Resnikoff's conundrum) is this: ...
During the past 40 years, as automation started to replace staff, the technology consisted of the use of pneumatic control equipment where precision made mechanical instruments and other devices interpreted the condition of systems and transmitted pneumatic signals in a effort to control processes such as the temperature of cooling water or lubricating oil. These control systems were usually localised at the point of use although some had remote indicators such as that for boiler...
We are proud to be an official partner on the DIMOS Project and look forward to working with our partners to deliver a platform to global shipping. What is the DiMOS Project? DIMOS stands for Digital Monitoring of Ships. The project sets out to develop an integrated hardware and software platform capable of pulling together the monitoring and maintenance of the machinery, structure and auxiliary systems within a vessel....
RELMAR is pleased to announce the winning of funding from the Technology Strategy Board of Innovate UK as part of a collaboration with Partners including Brunel University, TWI Group, Cambridge....
Those companies operating in the top quartile of reliability performance, when benchmarked against the average performance of their peers, enjoy 4% more availability, at half of the maintenance cost (as a consequence, not an action), and typically have a better safety record as a result. - Emerson....
Marine Asset Dependability (MAD) from RELMAR helps asset intensive industries, in particular Oil and Gas and Maritime organisations, achieve safer and more reliable operations whilst facilitating optimal performance at the lowest costs possible....
Predictive Analytics: we think it is fair to say this type of approach represents the future of our industry in Oil and Gas and Maritime. There is a lot of work going on in this space to develop systems to anticipate failure based on health/condition. It is a common topic of discussion, which straddles ‘big data’ (people already have more data than they know what to do with) and ‘statistical analysis’. There are many sensors...
Our dynamic rule-based learning system gets a great start: from the beginning it knows how to move pieces, and it knows all the possible moves. It starts from DAY 1....
There are health monitoring systems for Ships/Rigs that collect and transmit vast amounts of data from countless sensors on-board. These data-sets are sent in real time to shore bases for rapid analysis, which then provides guidance to the Crew/Shipowner for corrective action. This sounds terrific – in theory. In practice, and especially in the high cost environment of today’s ship and rig owners, there is simply not the skills and enough time to analyse the...