power transformers are key components in electrical power supplies and their failure could cause severe consequences on continuity of service and also generates substantial costs. identifying problems at an early stage, before catastrophic failure occurs, is a great benefit for reliable operation of power transformers. frequency response analysis (fra) is a new, well-known and powerful diagnost...

power transformers provide a vital link between the generation and distribution of produced energy. such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. this paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. transformer monitoring and diagnosis are the effe...

Instruments based on airborne/structure borne ultrasound technology offer many opportunities for reducing energy waste and improving asset availability in plants. They expand the concept of ”Condition Monitoring” to include much more than basic mechanical fault inspections. Since these instruments detect friction, ionization and turbulence, their inspection capabilities range from trending bear...

Apart from regular wheel wear such as decreasing wheel diameters and reduced flange thicknesses and heights, wheel flats (WF) and oval wheels (or OOR, Out-Of-Roundness) are the most common wheelset problems for railway vehicles. Within the FP7 Research Project “Saferail”, APT has developed an innovative wheelset monitoring system so-called “Wheel flat and Out of Roundness Monitoring (WORM) syst...

rangeland health assessment provides qualitative information on ecosystemattributes. we examined changes in rangeland health in the zagros semi-arid rangelands ofiran at fixed sites between 2001 and 2011, over the 10-year period. the rangelandfragments significantly declines in the quality of the vegetation, and changes in plantspecies were driven largely by seasonality, and to a lesser extent,...

Novelty Detection is an approach to classification that offers advantages over conventional techniques for monitoring high-integrity systems and manufacturing processes: it is not necessary to provide fault data to the system during development. Instead, providing a sufficiently comprehensive model of the system‟s normal behaviour has been formed, deviations from normal working conditions can b...

We introduce an approach for predicting the behaviour of a machine during a production cycle. Typical data analysis methods assume that continuous behaviour is (fully) observed. This assumption is unrealistic as monitored machines are often interrupted and restarted at irregular points in time. We study the resulting problem, propose a solution and report on a use-case in wire drawing.

Condition monitoring is the foundation of a condition based maintenance (CBM). To relate the information obtained from the condition monitoring to the actual state of the system, it is usually required a stochastic model. On the other hand, considering the interactions and similarities that exist between CBM and statistical process control (SPC), the integrated models for CBM and SPC have been ...