Aircraft Maintenance Decision System Based on Real-time Condition Monitoring

Real-Time Analysis and Condition Monitoring with Predictive Maintenance

Intelligent Predictive Decision Support System for Condition-Based Maintenance

The high costs in maintaining today’s complex and sophisticated equipment make it necessary to enhance modern maintenance management systems. Conventional condition-based maintenance (CBM) reduces the uncertainty of maintenance according to the needs indicated by the equipment condition. The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements...

Non-Intrusive Monitoring for Condition-Based Maintenance

The Navy’s Integrated Condition Assessment System (ICAS) is continuously evolving to meet the needs of today’s fleet as well as the requirements of future ship designs. This paper describes a technology known as the non-intrusive load monitor that could support the evolution of ICAS and other condition-based maintenance (CBM) systems. The non-intrusive load monitor (NILM) [8, 9, 10] can be used...

Opportunistic Maintenance in Aircraft using Relevant Condition Parameter based Approach

Opportunistic maintenance has been an essential part of all systems-maintenance, implicitly if not explicitly. However, as systems become more expensive and complex, the decisions involving opportunistic maintenance activities become more complicated. In this paper, we discuss a few issues that arise while carrying out the opportunistic maintenance, and try to resolve them with the help of a po...

Multistage Condition Monitoring System of Aircraft Gas Turbine Engine

Researches show that probability-statistical methods application, especially at the early stage of the aviation Gas Turbine Engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence the efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the Fuzzy Logic an...