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Predictive maintenance based on generalized health assessment is a flourishing approach, which can decrease maintenance cost and increase operational availability efficiently. Remaining useful life prediction (RULP) is a kind of health assessment methods, which is fundamental and vital for predictive maintenance. But current predictive maintenance suffers the disconnection between RULP and maintenance...
Industrial plants are facing today with new challenges to well optimize performance of their operation and maintenance. For example, the sustainability paradigm is introducing new requirements to be taken into account in the decision-making process. In that way, energy consumption (EC) and energy efficiency (EE) are two critical performances impacting severely the plant effectiveness mainly with regards...
Acoustic emission (AE) is defined as the class of phenomena whereby transient elastic wave is generated by the rapid release of energy from a localized source of damage, which is well known as a highly sensitive technique to detect various types of damage, such as crack propagation in structure. Since most information of the failure in structure is contained in AE signal, this paper attempts to study...
Availability allocation is required when the manufacturer is obliged to allocate proper availability to various components in order to design an end product to meet specified requirements. But in designing phase of products, design parameters such as components' failure rate and repair rate are normally under uncertainties. This paper presents a methodology for solving the availability allocation...
With the development of modern systems, many previous isolated infrastructure networks are coupled together and should be modeled as interconnected networks. Cascading failures of loads in interconnected networks are more complex compared to isolated networks and the corresponding researches are still insufficient. In this paper, cascading failure model used in isolated is extended to the case of...
In prognostic approaches, if the health indicators tracking damage level show obvious monotonic trend through the life cycle, good RUL prediction results can be expected. This paper proposes a method to generate such an indicator. Ranking mutual information is employed to measure monotonicity relevance between features and damage level. Furthermore, a case study based on similarity prognostic method...
As one of the physical-based fatigue crack growth evaluation models, the small time scale model has been widely utilized for fatigue crack growth analysis. There are several material parameters involved in the small time scale model, such as: the Young's modulus, the yielding stress and the intrinsic threshold value et al. There are large uncertainties associated with these parameters in real engineering...
A fault implantable signal model could be helpful for researchers to develop fault diagnosis methods of planetary gearboxes. Considering meshing regularity between given planet gear tooth and ring gear, as well as AM effect caused by rotating of carrier, fault implantable signal model is established. The theoretical derivations are validated through spectrum analysis of simulation signal. Furthermore,...
As everyone here undoubtedly knows, product reliability is a key parameter to the development of parts, products and systems. You only have to follow the headlines over the last few years, to see such huge reliability issues as the Takata airbag, the GM ignition switch, the launch failure of the SpaceX rocket, and the Boeing 787 batteries. These reliability issues cost significant amounts of money,...
With the increasing emphasis on reliability in recent years for high-tech industrial processes comprise most complex systems today. Allocating proper reliability value to each subsystem or component of a complex system as an optimization process to rise productivity is very crucial. Exists approaches like ARINC and AGREE are too simple and inadaptable for ever increasing levels of industrial systems...
In this paper, a profust reliability health state estimation method of the component-level-equipment based on Kalman filter is present. First, the basic idea of state estimation based on Kalman filter is introduced. Secondly, it is deduced the Kalman filter state estimation algorithm. Thirdly, it is introduced to method of health status evaluation based on profust reliability. Finally, a profust reliability...
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