Pit & Quarry, October 2017
MOTORS DRIVES BEARINGS into the various predictive maintenance options offered in a traditional venue or via IIoT enabled technologies that provide local and remote monitoring with advanced analytics Traditionally time or cycle based maintenance strategies have been utilized to prevent failures This typically incorporates periodic physical inspection using your senses to safely see hear touch and smell the many clues your motor is giving you to alert you to abnormalities we recommend you avoid tasting your motor Unfortunately human senses are not acute enough to detect failures early in their progression requiring an extensive inventory of spare parts and their associated carrying costs to be available when equipment fails According to a frequently cited Electric Power Research Institute EPRI study the relative cost of a proactive maintenance program is 77 percent less than a reactive program Since downtime on a rock crusher in a typical quarry can be many thousands of dollars per hour the benefit in establishing and maintaining a proactive maintenance program is obvious In an ideal world elimination of downtime through predictive techniques would save the average pit or quarry millions of dollars each year while improving worker productivity and safety Sophisticated yet simple to deploy IIoT enabled systems gather and report operation conditions identify fault progression through pattern recognition and trending and calculate duty cycles via a cloud based network As IIoT based systems become more common their smaller sensors and lower costs will make them more attractive to your operation Imagine gathering and reporting operational conditions duty cycles and trending of your valuable equipments lifecycle via a local or cloudbased network OPERATING PARAMETERS Fundamentally an electric motor converts electrical energy into mechanical energy exchanging current for torque In the process many critical electromagnetic and mechanical forces come into play Each element tells a story about the motors overall health Effective motor maintenance programs should detect the following faults and conditions Rotor circuit porosity or rotor faults Motor misalignment Rotor eccentricity Power quality issues Overload conditions 34 PIT QUARRY October 2017 pitandquarry com
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