A robust model-based information system for monitoring and fault detection of large scale belt conveyor systems

Abstract

In this paper an information system is presented, which is developed to meet the requirements on fault detection and on-line monitoring of large scale belt conveyor systems. The core of this information system is a mathematical model, an observer and a fault detection system.

A review of predictive monitoring approaches and algorithms for material handling systems

“…The simulation and optimization was done for static models in much of the prior work, however performing the optimization dynamically and for changing plant environments was one of the identified gaps in the research. [7] This patent uses a positive displacement sorter as the example, in which it is Long haul conveyors [8], steel cord conveyors [9], revolving conveyors [10], large-scale [13,27] and heavy-duty conveyors e.g. This type of overall system monitoring with a focus on maintenance is based on condition-based maintenance and equipment health monitoring approaches.…”

“…[6] The other branch in is when the focus of the research is for reducing maintenance cost, eliminating unexpected failures of the MHS, and reducing equipment downtime. coal carrying [11], Mining [23,25], mail sorting machines [26] Analysis of recorded video using wavelets and neural networks [11], simulation of a 1200-meter belt [13], historical records of a conveyor system performance [16,27], laboratory experiment [17,18], field data [22][23][24], sensors embedded in the belt [26] Embedded conductive arrays or layer, magnetic field, and a detector [8,9,12,17], two transponders for monitoring belt's connecting region [10], image processing of video frames [11], a mathematical model using torque and mass flow to estimate speed, belt tension, force etc. For monitoring the overall health state of the MHS, one specific patent mentioned that the motor current and amperage can be used for evaluating the overall system health condition.…”

“…This type of overall system monitoring with a focus on maintenance is based on condition-based maintenance and equipment health monitoring approaches. [13], knowledgebased system [18], data-driven models based on history data [27] and sensory data e.g. [7] This patent uses a positive displacement sorter as the example, in which it is Long haul conveyors [8], steel cord conveyors [9], revolving conveyors [10], large-scale [13,27] and heavy-duty conveyors e.g.…”

“…[13,19,20,22,24] In terms of the instrumentation, different type of sensors including vibration [19,20,24], strain gauge [22], motor current [22], etc. It consists of several mechanical components such as motor, bearing, gearbox and brake system, and failure of any of them can lead to the shutdown of the conveyor system and loss of money.…”

“…Bearing Vibration [19,20,24], Belt velocity and motor torque [13], AE [24] Gear Transmission vibration [19] Motor strain gauge for measuring shaft torque, and current transducer [22] Brake System strain gauge between brake disk and pulley [22], bending measurement and magnetic pickup sensor [22] Pulley…”