A review on machinery diagnostics and prognostics implementing condition-based maintenance

Rotating machinery prognostics: State of the art, challenges and opportunities

Condition-based maintenance (CBM) is a decision-making strategy based on real-time diagnosis of impending failures and prognosis of future equipment health. It is a proactive process that requires the development of a predictive model that can trigger the alarm for corresponding maintenance. Prognostic methodologies for CBM have only recently been introduced into the technical literature and become such a focus in the field of maintenance research and development. There are many research and development on a variety of technologies and algorithms that can be regarded as the steps toward prognostic maintenance. They are needed in order to support decision making and manage operational reliability. In this paper, recent literature that focuses on the machine prognostics has been reviewed. Generally, prognostic models can be classified into four categories: physical model, knowledge-based model, data-driven model, and combination model. Various techniques and algorithms have been developed depending on what models they usually adopt. Based on the review of some typical approaches and new introduced methods, advantages and disadvantages of these methodologies are discussed. From the literature review, some increasing trends appeared in the research field of machine prognostics are summarized. Furthermore, the future research directions have been explored.

Current status of machine prognostics in condition-based maintenance: a review

Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine

Aeroelasticity is still dynamic, challenging, and a key part of cutting-edge airplane technology. Emerging trends, as well as challenges and needs in the field of airplane aeroelasticity, are surveyed and discussed. The paper complements other overview papers on various aspects of the fixed-wing aeroelastic problem, published recently for the centennial year of flight. It includes an extensive bibliography and emphasizes those aspects of aeroelastic technology development not covered thoroughly elsewhere.

Future of Airplane Aeroelasticity

From the Publisher:
The book is concerned with the diagnosis of the damage and faults of mechanical systems in the diverse fields of engineering. It takes into consideration the various stages of the life cycle of a system from a diagnosis-oriented point of view and from a methodological one. Analysis, testing and diagnosis is linked with all stages of a system's life, with an enormous effect on costs, reliability and safety. The classical methods of diagnosis based on signature analysis are reviewed in the introduction. The main subject is the model-supported diagnosis using system identification methods for adjusting mathematical models to various states of the system under investigation at pre-given life times. These adjusted models perform the best knowledge base available about the system which serve the purposes of fault detection, localization, and the cause-finding of faults and their assessment, predictions due to future forcings and trend predictions. The diagnostic decision-making is based on validated models. The assessment to be made with the resulting consequences also is discussed.

H.G. Natke

Papers

Model-Aided Diagnosis of Mechanical Systems : Fundamentals, Detection, Localization, Assessment

Symptom reliability and hazard for systems condition monitoring

Fault detection and localisation in structures: a discussion

Problems of model updating procedures: a perspective resumption

A passive diagnostic experiment with ergodic properties