One of the most important assumptions in production scheduling is that the machines are permanently available without any breakdown. In the real world of scheduling, machines can be made unavailable due to various reasons such as preventive maintenance and unpredicted breakdown. In this paper, we explore flowshop configuration under the assumption of condition-based maintenance to minimize expe...

Every industry is dependent on some type of asset that keeps the business in business be it a computer, a CNC, or a megawatt transformer. In a large enterprise, reducing costs related to asset maintenance, repair, and ultimate replacement is at the top of management concerns. Downtime in manufacturing ultimately results not only in high repair costs, but in customer dissatisfaction and lower po...

This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture for Condition Based Maintenance) photovoltaic generators (PVG). At First, this work presents some PVGs performance degradation studies main indicators. We select Corrected ratio (CPR) as indicator associated with Loess data analysis method to avoid aberrations errors from acquisit...

The KC-46A Pegasus, a Boeing 767 (B767) commercial derivative aircraft (CDA), is key part of the United States Air Force’s (USAF) efforts to modernize their aging tanker fleet. Department Defense (DoD) and USAF have heavily emphasized desire need for Condition-Based Maintenance Plus (CBM+) improve maintenance programs such as KC-46A. This study reviews existing CBM+ practices on B767 related fl...

This paper presents an approach to distributed condition monitoring systems that offers a reusable software architecture for a class of condition monitoring (CM) applications. The focus of this paper deals with an open software framework for development of CM applications stemming from 1) the Open System Architecture for Condition Based Maintenance (OSA-CBM) specification, which is an architect...

Predictive maintenance is closely connected to condition monitoring, health and usage monitoring systems (HUMS), prognostic modeling and condition-based maintenance (CBM). It is concerned with identifying what maintenance actions should be chosen and when, based on the predicted state of the item of interest over time. It can be viewed as a logical development of CBM. The authors of this paper ...

Machine health condition (MHC) prediction is useful for preventing unexpected failures and minimizing overall maintenance costs since it provides decision-making information for condition-based maintenance (CBM). This paper presents a novel bearing health condition prediction approach based on enhanced online sequential learning fuzzy neural networks (EOSL-FNNs). Based on extreme learning machi...

As per ISO-10816, electric motors up to 15 kW are classified as Class I machines, and the major reason for their failure is that vibrations in them above alert limit. This study presents a new model predicting condition-based maintenance (CBM) initiation points through vibration measurement system of machines. The proposed follows accelerated life testing (ALT) procedure. ALT includes formation...

Condition-based maintenance (CBM) seeks to implement a policy wherein maintenance management decisions are based on the identification of the current condition of monitored machinery. It involves not only collecting data but also comparing them with reference values and, if necessary generating alerts based on preset operational limits. This approach is adopted by a system responsible for monit...