Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...

Through the mechanized building of road projects, construction equipment is one most important resources for businesses. The practice planning and managing lacks requisite policies to satisfy criteria. As a result, numerous projects have encountered time expense overruns, as well poor quality. In this regard, goal research determine safe use tools, machinery, on job site, causes consequences pr...

The integration of machine learning algorithms in mechatronic systems has emerged as a promising approach for achieving efficient and reliable predictive maintenance strategies. This abstract provides an overview the application techniques maintenance, highlighting benefits, challenges, future directions this field. Predictive plays crucial role ensuring optimal performance longevity systems, s...

this study investigated the status of mechanized power and self-propelled rice cultivation machinery in guilan province in northern iran. the raw data was obtained from 2013 statistics of the agricultural jihad organization of guilan province. power per unit of area, mechanization level, area per unit of self-propelled machinery, and mechanization requirement were calculated for eastern, wester...

Manufacturers often use reactive and preventive maintenance practices on their machinery, which can result in substantial economic losses that could be prevented with advanced strategies. While past research has defined frameworks system architectures for smart manufacturing, guidance implementing prognostics health management (PHM) solutions manufacturing is needed. This article presents “heal...

Large companies use a lot of resources on workshop operator training and industrial machinery maintenance since the lack this practice or its poor implementation increases cost risks operating handling sensitive and/or hazardous machinery. Industrial Augmented Reality (IAR), major technology in Industry 4.0 paradigm that may enhance worker performance, minimize hazards improve manufacturing pro...

Abstract Rotating machinery is important to industrial production. Any failure of rotating machinery, especially the rolling bearings, can lead equipment shutdown and even more serious incidents. Therefore, accurate residual life prediction plays a crucial role in guaranteeing machine operation safety reliability reducing maintenance cost. In order increase forecasting precision remaining usefu...

In this paper an attempt has been made to develop an expert system called VIBMASTER to help the plant maintenance persons in diagnosing the cause of excessive vibration at the bearing supports of a rotating machinery. In the expert system a data base has been compiled from Standards, Journals, Handbooks and Rules from Maintenance Manuals related to maintenance engineering and management. The tr...

Recently, with the advent of emerging technologies such as radio frequency identification (RFID), various sensors, and wireless telecommunication, we can have the visibility of asset status information over the whole asset lifecycle. It gives us new challenging issues for improving the efficiency of asset operations. One of the most challenging problems is the predictive maintenance that makes ...