Automation Canada Quarterly Volume 2 Issue 5 - 6

" Some of the ideas that came out of the testing are
part of our technology roadmap going forward, in
terms of what features we want to implement and
what the market is looking for. "
Enertics' LVMM 100 Motor Health Monitor Sensor
Gateway represents a key component to the
progression of IIoT toward facilitating the factory of
the future. The product is expected to launch in Q1 of
2021, initially in India and Canada. The sensors are
suitable for any electric motor of any size and type.
They have tested it on motors for household
appliances all the way up to mega-watt scaled
machines. Enertics is also going through the
regulatory process for industrial certifications.
How have industrial motors been monitored
previously?
" If you look at any heavy industry, they would have
a defined maintenance program called a PM
program, as part of that program they would have teams doing vibration analysis, electrical parameter analysis, etc. etc. on a periodic basis, " explained Sagoo,
discussing how industrial motor monitoring is generally conducted.
" Based on how critical the piece of equipment or motors may be, they might do this testing/analysis on a monthly basis, quarterly basis; in some cases, maybe
even every 6 months or so. With this technology that we are launching, this is all going to be done on an on-going and online basis where the customer would
have access to information at their fingertips 24/7, they don't need to send any personnel out to the field to take these readings. "
Monitoring: Enertics is targeting industrial facilities that operate a large number of motors in challenging environments. As a
case study, the project did 24/7 monitoring for two motors of the same type but with significantly different installation dates
and compared their vibration signatures.

What are the implications of the LVMM 100 Sensor Gateway for maintenance programs?
" The key value of our technology is to automate the whole process. In addition to doing the monitoring, we are able to pinpoint the problems. Say if a particular
machine has a bearing issue or a stator winding issue, based on the analysis that we do on the sensor data, we can pinpoint down to that level, 'this particular
bearing is broken or is going to be broken, " the latter being a key component to the technology.
" By leveraging the predictive algorithms, we can inform the customer beforehand, 'even though your piece of equipment may be okay today, it's trending
toward concerning levels of vibration or temperature profile' - based on that we can tell them, 'now is the time to prevent this failure from happening.' "
" This brings the predictive elements of our solution to the table. "
How has IoT changed the way sensing technology can operate?
" When I was at GE, we did similar types of solutions from a monitoring perspective, " although they weren't diagnosing or predicting problems, noted Sagoo.
Currently and at that time, machine monitoring is conducted through a hardwired solution.
The IoT strategy provides portability by leveraging 4G LTE, and WiFi technologies, while also utilizing edge/cloud computing. " You don't need continuous
data all the time, " explained Sagoo. " If a machine is performing alright and there's no anomalies, then there's no need to bring all that data to the backend to
analyze and store it. With this IoT focus, we have designed our systems in such a way that we keep track of all the anomalies, all the data locally at the edge level
and only bring the higher resolution data to the backend for analysis when there's a problem. "

C A N A D I A N A U TO M AT I O N

VOLUME 2, ISSUE 5

Automation Canada Quarterly Volume 2 Issue 5

Table of Contents for the Digital Edition of Automation Canada Quarterly Volume 2 Issue 5