Subcutaneous glucose biosensor failure – a fuzzy fault tree analysis approach

Subcutaneous Glucose Biosensor Failure – a Fuzzy Fault Tree Analysis Approach

Diabetes mellitus is a disease of major global importance, increasing in frequency at almost epidemic rates. In order to optimize diabetes management and, therefore, reduce hyperor hypo-glycaemia complications, continuous and reliable in vivo (subcutaneous or intravenous) glucose monitoring is indispensable. To that end, subcutaneous sensors have progressed more rapidly as they can be linked to...

Investigating implantable glucose biosensors pitfalls: a fault tree analysis approach

Implantable sensors for glucose monitoring are the first step towards the development of an implantable closed-loop diabetes control system. Although significant advances in the designs and chemistries employed to prepare intravascular and subcutaneous devices have been achieved, the biological responses can have a dramatic impact on the analytical accuracy of such probes. With a view to assist...

Uncertainty in fault tree analysis: A fuzzy approach

Fuzzy fault tree analysis: revisited

This talk will review two case studies that examine the effectiveness of using Fuzzy Top Event Probability (FTEP) over the conventional approach. Case study one relates to flash vessel in an ammonia tank, while in case study two ,using fuzzy set theory, the FTEP has been estimated for the existing ammonia storage tank in a large fertilizer complex located in Mumbai, India. In addition, a new fo...

A Fuzzy Approach to Sequential Failure Analysis Using Petri nets

In highly competitive industrial market, the concept of failure analysis is an unavoidable fact in complex industrial systems. Reliability of such systems not only depends on the reliability of each element of these systems, but also depends on occurrence of sequence of failures. In this paper, a novel approach to sequential failure analysis is proposed which is based upon fuzzy logic and the c...