Condition based maintenance (CBM) is an important maintenance strategy in practice. In this paper, we propose a CBM method to effectively incorporate system health observations into maintenance decision making to minimise the total maintenance cost and cost variability. In this method, the system degradation process is described by a Cox PH model and the proposed framework includes simulation o...

In manufacturing enterprises, maintenance is a significant contributor to the total company’s cost. Condition Based Maintenance (CBM) relies on prognostic models and uses them to support maintenance decisions based on the current and predicted health state of equipment. Although decision support for CBM is not an extensively explored area, there exist methods which have been developed in order ...

In this paper, we focus on a continuously deteriorating critical equipment which its failure cannot be measured by cost criterion. For these types of systems like military systems, nuclear systems, etc it is extremely important to avoid failure during the actual operation of the system. In this paper we propose an approach which constrains failure probability to a pre-specified value. This valu...

Statistics demonstrate that public transportation plays a significant role in people’s movement in metropolises. However, transit systems are aging and are facing rising maintenance costs. Technologies such as Condition-Based Maintenance (CBM) could be used in order to monitor performance conditions of transportation and industrial assets in real-time to detect when and what maintenance is requ...

This article aims to review the literature on condition-based maintenance (CBM) by analyzing various terms, applications, and challenges. CBM is a technique that monitors existing condition of an industrial asset determine what needs be performed. enlightens readers with research in using machine learning artificial intelligence techniques related literature. A bibliometric analysis performed d...

This paper deals with a predictive maintenance policy for a continuously deteriorating system subject to stress. We consider a system with two failure mechanisms which are respectively due to an excessive deterioration level and a shock. To optimize the maintenance policy of the system, an approach combining Statistical Process Control (SPC) and Condition-Based Maintenance (CBM) is proposed. CB...

As a maintenance strategy to reduce unexpected failures and enable safe operation, condition-based (CBM) has been widely used in recent years. The decision criteria of CBM the literature mostly originate from statistical failure data or degradation states, few which can directly effectively reflect current state analyze condition monitoring data, measures, reliability together at same time. In ...

Condition based maintenance (CBM) seeks to generate a design for a new ship wide CMB system that performs diagnoses and failure prediction on Navy shipboard machinery. Eventually, a variety of shipboard systems will be instrumented with embedded high-performance processors to monitor equipment performance, diagnosis failures, and predict anticipated failures. To illustrate the general principle...

The Department of Defense (DoD) is currently maintaining the aircraft operability and functionality past the original design intention for many military aircraft. This practice imposes an additional burden on the inspection systems at the DoD logistic centers to ensure the aircraft in operation are airworthy and will be able to complete mission assignments for a specified period of time. Condit...

Swedish industries maintenance-related costs run into billions on a yearly basis. Research has shown that up to 20% of the costs go to waste in non-realized revenue due to poor maintenance decisions. Both excessive and lacking maintenance can be harmful to an asset. A technology that strives to make the right judgements in maintenance intervals is the Condition Based Maintenance (CBM) technolog...