Condition-based maintenance (CBM) of industrial equipment is generally recognized as being the most cost-effective means for improving equipment availability. However, prerequisite to successful implementation of CBM is a reliable detector of failing components. One such detector, termed the effective negative-sequence impedance, had previously been identified as an indicator of induction motor...

Two-beam laser welding (TBLW) is an advanced process for precise, low distortion joining of cylindrical miniature parts. The composed a source, optics and various actuators, which form sophisticated system control maintenance in high volume manufacturing. A well-established method identifying defects ensuring quality the monitoring plasma light emission TBLW. Although such systems can detect ch...

Power transformer is a core equipment of power system, which undertakes the important functions of power transmission and transformation, and its safe and stable operation has great significance to the normal operation of the whole power system. Due to the complex structure of the transformer, the use of single information for condition-based maintenance (CBM) has certain limitations, with the ...

Maritime autonomous surface ships (MASS) are proposed as a future technology of the maritime industry. One key technologies for development MASS is condition-based maintenance (CBM) based on prognostics and health management (PHM). The CBM can be used early detection abnormalities database prediction fault occurring in future. However, this has problem that requires high-quality reproduces oper...

The use of condition monitoring techniques within industry to direct maintenance actions has increased rapidly over recent years to the extent that it has marked the beginning of what is likely to prove a new generation in production and maintenance management practice. There are both economic and technological reasons for this development driven by tight profit margins, high outage costs and a...

The translational axis is one of the most important subsystems in modern machine tools, as its degradation may result in the loss of the product qualification and lower the control precision. Condition-based maintenance (CBM) has been considered as one of the advanced maintenance schemes to achieve effective, reliable and cost-effective operation of machine systems, however, current vibration-b...

Fatigue cracks increase structural failure risk and timely maintenance is very important. Maintenance planning often formulated as a probabilistic optimization problem, considering uncertainties in load modelling, material properties, damage measurements, etc. A decision rule or strategy, e.g. condition based (CBM), needs to be set up, then an optimal criterion threshold derived via solving the...

Abstract Technical failures in machines are major sources of unplanned downtime any production and result reduced efficiency system reliability. Despite the well-established potential Machine Learning techniques condition-based maintenance (CBM), lack access to failure data has limited development a holistic approach address machine-level CBM. This paper presents practical for mode prediction u...

Condition-based maintenance is a cost effective maintenance strategy, in which maintenance schedules are predicted based on the results provided from diagnostics and prognostics. Although there are several reviews on diagnostics methods and CBM, a relatively small number of reviews on prognostics are available. Moreover, most of them either provide a simple comparison of different prognostics m...

Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor errors must be taken into account. Thi...