Preventing Equipment Failures with Real Time Oil Condition Monitoring

Introduction

With the commitment and investment by the Government in renewable energy and the continuing changes to the energy mix actually produced due to tighter controls and legislation, flexible and reliable peak capacity has never played a more critical role in ensuring that the lights quite literally “Do Not Go Out” .

Real Time Oil Monitoring

The life blood of any engine is the hydrocarbon or synthetic based oils which provides the essential lubrication to ensure trouble free operation. As over 80% of all equipment failures are due in some form to lubrication issues and the use of more diverse fuel types such as Methane is further putting pressure on all operators to regularly monitor and maintain this fluid to ensure efficient running and reduce the significant risk of engine failure. That is why the measurement and monitoring of the Quality of the oil for ongoing performance and reliability is paramount.

It is essential that both suppliers and operators of industrial equipment which relies on oil for lubrication and/or operation, ensure that the oil is correctly specified and maintained in the optimal condition for reliable and cost effective operation. Commercial expectations are also placing greater pressure on OEM’s to supply extended warranties whilst operators are constantly looking for effective cost savings

Traditional offline oil sampling techniques are widely used within industry for the purpose of oil monitoring, there is the risk that the condition of the machine and/or lubricant could become seriously contaminated or otherwise affected at a point just after or at least between sampling times. To reduce this problem a risk assessment program is usually carried out to establish the ideal frequency of monitoring any given equipment. However, this ideal frequency of monitoring could prove difficult to justify both financially and practically in case where safety of sampling is an issue or the equipment is in remote locations, such as isolated pumping stations, a wind turbine etc.

To overcome this problem and reduce the risk further it follows that an accurate Real Time Oil monitoring solution would deliver significant advantages in such cases. Historically the challenge has been that the available technology has been proven to be unreliable and intensive to the key changes in the oil condition and has therefore failed to deliver a commercial base on which to deploy such technology. However with the advent of the patented Tan Delta Oil Quality Sensor , a revolutionary broad spectrum sensor which accurately and reliably monitors all of the key factors within the oil in Real Time, the ability to realise a significant return on investment has now become a reality.

The Tan Delta Oil Quality Sensor is based on a variant of the dielectric properties of the oil, the sensor uses patented technology based on dielectric loss factor (Tan Delta), which is far more sensitive indicator of oil condition than Permittivity alone (often known as dielectric constant). For most oils, the loss factor will vary from perhaps 0.005 (fresh oil) to 0.1 when contaminated, a dynamic range of 20:1. This is compared with just 0.8:1 for dielectric constant (which changes typically from 2.3 to 2.9), and therefore it is evident that Tan Delta is many times more sensitive than traditionally understood and used dielectric constant.

Figure 1 shows the data produced in the laboratory from oil samples taken from a Gas Engine running on Methane fitted with the Tan Delta Oil Quality Sensor. Clearly there are direct relationships with the oil sensor readings and the typically measured oil condition-monitoring laboratory data.

Table 2 shows the above results in detail. The analyses show a fall in TBN, a rise in TAN and a rise in oxidation resulting in the laboratory recommending a caution value where appropriate. The data shown is Table 2 confirms that the oil sensor reliably tracked the oil Condition

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Sensor Technology

The Tan Delta Oil Quality Sensor uses patented technology to accurately monitor the various changes which take place as oil ages and degrades. Every single oil which is available on the market today has a unique chemical makeup, this is as a result of the different base oil and the individual additive package which has been utilized. The Tan Delta Oil Quality Sensor can easily be configured for the specific oil which is being used, the sensor knows what this oil looks like when it is clean and therefore accurately report any changes which take place.

The sensor works by introducing a very high frequency AC voltage into the fluid to precisely measure the oil’s ability to store energy (Capacitance) and the oil’s ability to conduct current (Conductance).

As an oil ages and/or get contaminated the amount of polar molecules with the oil increase dramatically and by combining the measurement factors (patent method) we can assess the amount of change (damage) which has occurred.

To see how we can assist you in saving money, please call Lourens Janse Van Rensburg on +27 (0) 79 512 8027 or alternatively via email, lourens-cisindustrial@outloo.com. Or visit our website:https://cisindustrialservices.com

Plant Uptime • Plant Safety • Asset Reliability

 

Preventing Equipment Failures with Real Time Oil Condition Monitoring

Introduction

With the commitment and investment by the Government in renewable energy and the continuing changes to the energy mix actually produced due to tighter controls and legislation, flexible and reliable peak capacity has never played a more critical role in ensuring that the lights quite literally “Do Not Go Out” .

Real Time Oil Monitoring

The life blood of any engine is the hydrocarbon or synthetic based oils which provides the essential lubrication to ensure trouble free operation. As over 80% of all equipment failures are due in some form to lubrication issues and the use of more diverse fuel types such as Methane is further putting pressure on all operators to regularly monitor and maintain this fluid to ensure efficient running and reduce the significant risk of engine failure. That is why the measurement and monitoring of the Quality of the oil for ongoing performance and reliability is paramount.

It is essential that both suppliers and operators of industrial equipment which relies on oil for lubrication and/or operation, ensure that the oil is correctly specified and maintained in the optimal condition for reliable and cost effective operation. Commercial expectations are also placing greater pressure on OEM’s to supply extended warranties whilst operators are constantly looking for effective cost savings

Traditional offline oil sampling techniques are widely used within industry for the purpose of oil monitoring, there is the risk that the condition of the machine and/or lubricant could become seriously contaminated or otherwise affected at a point just after or at least between sampling times. To reduce this problem a risk assessment program is usually carried out to establish the ideal frequency of monitoring any given equipment. However, this ideal frequency of monitoring could prove difficult to justify both financially and practically in case where safety of sampling is an issue or the equipment is in remote locations, such as isolated pumping stations, a wind turbine etc.

To overcome this problem and reduce the risk further it follows that an accurate Real Time Oil monitoring solution would deliver significant advantages in such cases. Historically the challenge has been that the available technology has been proven to be unreliable and intensive to the key changes in the oil condition and has therefore failed to deliver a commercial base on which to deploy such technology. However with the advent of the patented Tan Delta Oil Quality Sensor , a revolutionary broad spectrum sensor which accurately and reliably monitors all of the key factors within the oil in Real Time, the ability to realise a significant return on investment has now become a reality.

The Tan Delta Oil Quality Sensor is based on a variant of the dielectric properties of the oil, the sensor uses patented technology based on dielectric loss factor (Tan Delta), which is far more sensitive indicator of oil condition than Permittivity alone (often known as dielectric constant). For most oils, the loss factor will vary from perhaps 0.005 (fresh oil) to 0.1 when contaminated, a dynamic range of 20:1. This is compared with just 0.8:1 for dielectric constant (which changes typically from 2.3 to 2.9), and therefore it is evident that Tan Delta is many times more sensitive than traditionally understood and used dielectric constant.

Figure 1 shows the data produced in the laboratory from oil samples taken from a Gas Engine running on Methane fitted with the Tan Delta Oil Quality Sensor. Clearly there are direct relationships with the oil sensor readings and the typically measured oil condition-monitoring laboratory data.

Table 2 shows the above results in detail. The analyses show a fall in TBN, a rise in TAN and a rise in oxidation resulting in the laboratory recommending a caution value where appropriate. The data shown is Table 2 confirms that the oil sensor reliably tracked the oil Condition

undefined

Sensor Technology

The Tan Delta Oil Quality Sensor uses patented technology to accurately monitor the various changes which take place as oil ages and degrades. Every single oil which is available on the market today has a unique chemical makeup, this is as a result of the different base oil and the individual additive package which has been utilized. The Tan Delta Oil Quality Sensor can easily be configured for the specific oil which is being used, the sensor knows what this oil looks like when it is clean and therefore accurately report any changes which take place.

The sensor works by introducing a very high frequency AC voltage into the fluid to precisely measure the oil’s ability to store energy (Capacitance) and the oil’s ability to conduct current (Conductance).

As an oil ages and/or get contaminated the amount of polar molecules with the oil increase dramatically and by combining the measurement factors (patent method) we can assess the amount of change (damage) which has occurred.

To see how we can assist you in saving money, please call Lourens Janse Van Rensburg on +27 (0) 79 512 8027 or alternatively via email, lourens-cisindustrial@outloo.com. Or visit our website:https://cisindustrialservices.com

Plant Uptime • Plant Safety • Asset Reliability

 

Interrupted production can be costly!

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The IIot Motor Diagnostic System – Cracked Rotor Bar Defect

Interrupted production can be costly. Loss of production hours, output as well as the cost to repair mechanical faults or major machine breakdowns can severely impact production and maintenance budgets.

The IIot Motor Diagnostic System allows plant owners to prevent unplanned mechanical breakdowns through fault detection alerts enabling maintenance teams to act proactively.

The IIot Motor Diagnostic System installed at an international rubber and tyre manufacturer on a rubber-mixing mill saved the company many hours of unscheduled downtime and hundreds of thousands in production revenue.

The Roll Milling Machine applies a mechanical process to blend the ingredients into a homogeneous substance. Internal mixers fitted with two counter-rotating rotors in a large housing shear the rubber charge along with the additives.

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The IIot Motor Diagnostic System identified an existing Coupling/Bearing problem in the Roll Milling Machine. The system also flagged an immediate alert related to the Rotor Bar parameter.

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The trend visibly reflects how the Rotor Bar error advanced. Vibration measurements verified the presence of broken rotor bars, already identified by The IIot Motor Diagnostic System.

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The IIot Motor Diagnostic System in this instance demonstrated its ability to detect developing Rotor Bar faults, alerting the maintenance team. The necessary predictive and preventative maintenance actions were taken, resulting in no production loss recorded.

Can you imagine the impact on the production and maintenance budget if this fault were not detected?

CIS Industrial Services (Pty) Ltd – Plant Uptime, Plant Safety, Asset Reliability!

Unscheduled downtime affects your production​!

UNSCHEDULED-DOWNTIME-AFFECTS-YOUR-PRODUCTION

The IIot Motor Diagnostic System – Unbalance and Misalignment

Faults going undetected in an industrial plant can have serious negative implications on production and often safety. It is of the utmost importance for the Maintenance Department to always be alert and aware of any technical issues no matter how big or small, that can result in unplanned downtime.

The IIot Motor Diagnostic System installed at a major international manufacturer in the automotive industry did just this. The IIot Motor Diagnostic System unit first gave a warning of a problem on 16 October 2015 and diagnosed a looseness problem. Due to pressure to meet production targets a decision was made by the maintenance team to wait for further indications.

On 19 November 2015, a new alert reflected, which initiated an inspection, resulting in the discovery of a loose attachment bolt on a Cooling Tower Fan, responsible for cooling the water circulated in the tower.

Slide2-The IIot Motor Diagnostic System - Unbalance and Misalignment

Next follows the sequence of alerts by the IIot Motor Diagnostic System unit at the time, as an example of the operation of the unit.

OCTOBER 2015

The system indicates looseness, and then the problem disappeared. Numerous alarms flagged in the software that related to foundation issues, including unbalance as well as misalignment alerts.

Slide3-The IIot Motor Diagnostic System - Unbalance and Misalignment

NOVEMBER 2015

Continuous monitoring of foundation problem followed.

Slide4-The IIot Motor Diagnostic System - Unbalance and Misalignment

DECEMBER 2015

The IIot Motor Diagnostic unit continuously reported a unbalance, and misalignment problem.

Slide5-The IIot Motor Diagnostic System - Unbalance and Misalignment

DECEMBER 2015

Slide6-The IIot Motor Diagnostic System - Unbalance and Misalignment

FEBRUARY 2016

Scheduled maintenance took place in February 2016, where the foundation problem was corrected.

Slide7-The IIot Motor Diagnostic System - Unbalance and Misalignment

RESULT: The IIot Motor Diagnostic System unit detected an Unbalance and Misalignment concern well in advance. Due to the early warnings provided by the IIot Motor Diagnostic unit an informed decision was made by the maintenance team to run and monitor the fans for any drastic changes that could affect production until the problem could be resolved during scheduled downtime.

Slide8-The IIot Motor Diagnostic System - Unbalance and Misalignment_1

Making the correct maintenance decisions can be an easy task if you have access to accurate information to base your decision making on.

Can you afford unscheduled downtime?

CIS Industrial Services (Pty) Ltd – Plant Uptime, Plant Safety, Asset Reliability!