This study aims to provide maintenance-state assessment model for forecasting of building maintenance condition. The selected institutions the were state funded hospitals and schools (14 functional out 23 general 2 3 tertiary schools). In this study, considering shortcomings most widely accepted condition survey protocol (CSP) 1 matrix, that is suitable small projects defect based, developed a ...

With the development of aircraft, the amount of monitoring data becomes larger and larger, and the transmission channel bandwidth limitation and the onboard computational capability limitation become challenges for aircraft condition monitoring system. In this study, from the view point of aircraft condition monitoring, a remote fault diagnosis scheme based on compressed sensing is proposed, th...

The present paper provides some ideas about how decisions concerning maintenance of timber bridges should be made in a rational way. First, a brief discussion is provided concerning the evolution of maintenance strategies in general and it is suggested that maintenance of timber bridges should follow a risk-based approach. Then the discussion moves on to the condition assessment of timber bridg...

Pavement tends to deteriorate with time under repeated traffic and environmental loading. The structural health monitoring (SHM) concept can be applied as a systematic method for assessing the structural state of pavement infrastructure systems and documenting their conditions. SHM can be useful for civil infrastructure in saving both money and time by turning schedule-based maintenance into co...

A new online diagnostics system for the continuous condition monitoring of lubricating oils in industrial gearboxes is presented. Characteristic features of emerging component damage, such as wear, contamination or chemical aging, are identified in an early stage. The OilQSens ® sensor effectively controls the proper operation conditions of bearings and cogwheels in gears. Also, the condition o...

These days, the extension of reactor operation periods and plant life extension is the worldwide trend for efficient and economical operation of nuclear power plants. Plant maintenance methods have been changing from the traditional time-based maintenance (TBM) or periodical shutdown maintenance (where reactor operation is stopped and all the equipment is checked, disassembled, tested, and asse...

Wind energy is presently the fastest growing renewable energy source in the world. However, the industry still experiences premature turbine component failures, which lead to increased operation and maintenance (O&M) costs and subsequently, increased cost of energy (COE). To make wind power more competitive, it is necessary to reduce turbine downtime and increase reliability. Condition monitori...

Accurate equipment remaining useful life prediction is critical to effective condition based maintenance for improving reliability and reducing overall maintenance cost. In this paper, an artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of equipment subject to condition monitoring. The ANN model takes the age and multiple con...

This paper describes a method for constructing a model of normal system state for the purpose of providing continuous condition monitoring of an aerospace gas-turbine engine. We show how the model can be visualised in 2D to allow an intuitive identification of abnormal engine and how periods of abnormal engine condition can be identified by means of a novelty score. This approach is illustrated...

Maintenance is of necessity for sustaining machinery availability and reliability in order to ensure productivity, product quality, on-time delivery, and safe working environment. The costly maintenance strategies such as corrective maintenance and scheduled maintenance have been progressively replaced by superior maintenance strategies in which condition-based maintenance (CBM) is one of the d...