Internet of things assisted condition‐based support for smart manufacturing industry using learning technique

Abstract

Nowadays, countless industrial IIoT contraptions and sensors are conveyed a sharp plant to gather tremendous information regarding system conditions and a computerized bodily framework for handling industrial plant's mist point of convergence by using keen assem-How to cite this article: Li J, Tao H, Shuhong L, et al. Internet of things assisted condition-based support for smart manufacturing industry using learning technique.

Predictive Maintenance and Intelligent Sensors in Smart Factory: Review

“…The second cluster consists mainly of publications that emphasise the use of condition-based maintenance. The intelligent condition-based maintenance uses data fusion [ 95 ] and the Internet of Things in connection to learning techniques [ 96 ]. The third cluster related to publications mainly emphasised fault diagnosis’ importance for monitoring and maintenance.…”

“…Table 6 depicts maintenance process characteristics from analysed papers. The condition-based preventive maintenance is discussed in Farooq et al [ 38 ], Kumar et al [ 102 ], Li et al [ 96 ], Lin et al [ 103 ], Musselman and Djurdjanovic [ 104 ], Yan et al [ 93 ], and Sadiki et al [ 105 ]. Preventive maintenance is regular maintenance of machines, devices, and equipment to prevent their downtime concerning failure state.…”

“…Possible application of artificial intelligence (AI) for preventive maintenance is discussed by Carlson and Sakao [ 155 ]. Modern systems are based on the Internet of Things that enable real-time prediction and data sharing [ 96 ]. Uhlmann et al [ 117 ] described the solution of sensor network enhanced by cloud.…”

“…Li et al [96] The proposed DAMSID (Deep Adaboost Machine Learning assisted Sampling Design) offers a team training technique based on classifiers offline to tackle by CBM with floats of ideas and information on irregularities, which represents the specific segments (linear four rates and classifier of nominal and continuous) to be strengthened by modifying the following conditions.…”

“…Method Data Source Al-Jlibawi et al [107] simulation DCS (distributed control systems), PLC, or SCADA in refinery Barbieri et al [99] case study Alternating current (AC) motor (machinery), Pronistia dataset Bekar et al [108] case study Machine motor Farooq et al [38] case study SCADA in spinning factory, spinning frame JWF1562 Goodall et al [92] simulation RFID in remanufacturing facility Chien and Chen [109] case study health status of plasma enhanced chemical vapor deposition (PECVD) chamber tool in TFT(thin film transistor) and LCD (liquid crystal display) company Kiangala and Wang [94] experiment SCADA, conveyor motors Kozlowski et al [110] case study CNC cutter machine sensors for milling of thin-walled aircraft engine components Kumar et al [102] case study CNC machine sensors Lao et al [111] simulation chemical product concentration and temperature profiles Li et al [96] experiment test data from IoT devices and detectors Lin et al [103] experiment test data from IoT in smart factory Musselman and Djurdjanovic [104] experiment automated storage/retrieval systems (belt-driven material handling device) in semiconductor industry Park et al [112] experiment servo motor testing data in smart factory Peng et al [113] experiment NI-PXI (PCI extensions for instrumentation) and NI-Compact data acquisition from production lines in China Steel Corporation Peng and Tsan [98] experiment production line machines Sadiki et al [105] case study industrial machine behaviour Shan et al [114] simulation welding robot in automotive production line Tarashioon et al [115] experiment LED (light-emitting diode) lighting system technologies Tsao et al [116] simulation production system and production lines Uhlmann et al [117] experiment ball and screw monitoring of machine tools Villalobos et al [118] case study melting and extruder machines in plastic bottles production plant (Capital Equipment Manufacturer) Vlasov et al [119] case study the supporting bearing of electric machines (AC motors)…”