Because the Artesis system is simple to install and requires little user intervention in operation, it combines low start-up costs with the significant benefits of predictive maintenance. Since it doesn’t require any sensor installation on the equipment itself, and it can be installed in non-EX areas, Artesis eMCM is a particularly good solution for inaccessible equipment in the automotive industry.
Typical applications where you can monitor either electrical, mechanical and process conditions:
A very important factor in the production of pharmaceuticals is controlling environmental parameters such as temperature, humidity and airflow rate. Monitor the air handling units with Artesis technology to ensure the levels of these parameters are controlled according to requirements. This includes monitoring the supply and extraction fans with the motors that drive them.
Also, this monitoring technology allows monitoring any load increase due to leakage of hot water or steam used for heating, and/or leakage of chilled water used for cooling and air conditioning systems. Of course, monitoring gas boilers or gas turbines, boiler feed pumps, ID/FD fans and related support equipment used in those systems is also possible and recommended.
Although sometimes ignored due to size and number in the production line, small pumps and motor-driven mixers and agitators from the batch reactors can result in a batch lost due to a failure that could be prevented. Artesis simplifies the work of monitoring these machines without the need of introducing wiring and equipment or sensors in direct contact to the line.
Also, monitor any conveying systems to make sure the manufacturing process runs smoothly from one station to the other.
For the manufacturing process, there is more service equipment needed, such as water for injection systems and deionized water systems. Monitor feeding and supply pumps running within these systems with Artesis monitoring units and remember you will be able to detect both mechanical and electrical problems, including misalignment, loose foundation, bearing faults, load fluctuations, among others.
This section gives the details of the implementation of the Artesis early warning system at the trim & chassis department of a car manufacturing plant (Nissan) in the United States.
In the conveyor PSD graph, the sidebands around the line frequency (60Hz) are the indicators for transmission element faults. 17Hz sidebands are due to something running at 1020 rpm in the cyclo (transmission).
The figure gives a snapshot of the equipment by an existing monitoring system in the plant. The accelerometer next to the cyclo has a yellow indicator, meaning that the peak vibration at that sensor was reached the warning level.
This corroborates MCM's analysis of transmission element fault detection. The 2OH-1 GB1 Peak scale shows that it has exceeded the warning threshold, which also confirms the early warning system's findings.
Cooling Tower Fan Looseness
In this example, a global automobile manufacturer had installed MCM monitors on a number of cooling tower fans. Because of their physical inaccessibility, these fin fans had proven to be expensive and difficult to monitor with other methods.
The Artesis early warning system gave its first warning on Oct.16th and diagnosed the problem as mechanical looseness. However, the severity level remained low, and over the next few days, the alert was cleared. Based on the diagnosis, the plant staff decided to defer action but to watch closely for further occurrences of the problem.
Gradual deterioration in fan condition led to a renewed alert on Nov. 19th. This time, the alert remained in effect consistently at a moderate severity.
Maintenance inspection was not made until February 14th, during which time a loose attachment bolt was discovered at the point where the fan hub is attached to the driveshaft flange – validating that the initial MCM diagnosis had been correct. Following the correction of the loose fastener, the system remained in alert, accurately identifying a continuing mechanical unbalance condition which may have been related to the original problem.