Context awareness for maintenance decision making: A diagnosis and prognosis approach

Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques

“…In comparison with vibration signal analysis, acoustic emission technique is able to identify the fault in terms of both detection accuracy and response. Acoustic emission has the advantage of monitoring the fault evolution process during the earlier diagnosis [1] . Compared with vibration based fault detection methods, AE has the following advantages: 1) it is robust to mechanical structural resonances and roughly unaffected by typical mechanical noise; 2) it is more sensitive to fault activities; 3) it provides good trending parameters [2,4] .…”

Failure Prediction of Polymerase Chain Reaction Thermal Cycler

“…Equipment management is performed by corrective maintenance (CM) and by periodic preventive maintenance (PM) before the failure [1][2][3][4][5][6][7]. The development of the internet of things (IoT) technology allows even low-cost equipment to send sensor data to the cloud, changing the paradigm of equipment management [7].…”

“…The development of the internet of things (IoT) technology allows even low-cost equipment to send sensor data to the cloud, changing the paradigm of equipment management [7]. It is possible to perform health monitoring and prognosis of the equipment by gathering and analyzing in the cloud with health information of the equipment such as equipment environment, equipment operation and maintenance data [2]. The development of this technology will enable even the most costly visiting maintenance to be carried out at the manufacturer's office, and the automatic inspection will also be possible through the development of big data analysis technology.…”

Multi-body modelling of rolling element bearings and performance evaluation with localised damage

“…Physics-based models use physical laws and mathematical formulations to obtain the response of a system under certain operating conditions, making them an appropriate choice for such endeavours [14,37]. These models can be used together with other methods, such as the data-driven approach or symbolic modelling, to create a hybrid model that aims to overcome the limitations of each method [9,25]. In short, the development of physics-based models can facilitate the maintenance of REBs.…”