Fault prediction is the precondition of Condition Based Maintenance (CBM), accurate prediction for equipment can not only make warning before failure occurs, but also reduce the cost of maintenance of complicated equipment and system. Therefore, it is of profound importance to make research on fault prediction of electronic equipment. This paper analyses some typical fault prediction method of ...

Abstract Machinery will fail due to complex and tough working conditions. It is necessary apply reliable monitoring technology ensure their safe operation. Condition-based maintenance (CBM) has attracted significant interest from the research community in recent years. This paper provides a review on CBM of industrial machineries. Firstly, development fault diagnosis systems introduced systemat...

Prognostic is a key step of the condition-based maintenance (CBM). In order to improve the predicting performance, a novel method for prognostic for the hydraulic pump is proposed in this paper. Based on the improvement of the traditional composite spectrum, the DCT-composite spectrum (DCS) fusion algorithm is initially presented to make fusion of multi-channel vibration signals. The DCS compos...

Purpose – Most current condition-based maintenance (CBM) systems using proportional hazards model (PHM) assume that enough historical data are available. However, in many practical cases, it is usually costly to collect much historical data prior to real practice (model implementation). This paper aims to focus on the necessity and benefits of updating a PHM with new samples generated in the pr...

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...

Developments in sensor equipment and the Internet of Things increasingly allow production facilities to be monitored controlled remotely real-time. Organizations can exploit these opportunities reduce costs improve reliability by employing condition-based maintenance (CBM) policies. Another recently proposed option is adopt (CBP) policies that control deterioration dynamically adapting rate. Th...

Condition Based Maintenance (CBM) has become the focus of many research topics over past decades. This is mostly related to development new machine learning algorithms and ever increasing capacity collect data allowing failures be detected system’s remaining lifetime estimated while requiring few or no expert knowledge. However, current based CBM solutions have limitations. They require an exte...

The proper maintenance strategy is significant in extending assets and equipment, thus saving within an organization. Currently, there are three types of strategies implemented the Royal Malaysian Air Force (RMAF), namely Reactive Maintenance (RM), Preventive (PM), Condition Based (CBM). Due to constraints terms costs by RMAF, choosing right important ensure that provision can be optimized. In ...

Even though prognostics has been defined to be one of the most difficult tasks in Condition Based Maintenance (CBM), many studies have reported promising results in recent years. The nature of the prognostics problem is different from diagnostics with its own challenges. There exist two major approaches to prognostics: data-driven and physics-based models. This paper aims to present the major c...