How to determine the right oil and filter change intervals using onboard sensors?

Modern machinery, whether in mining, construction, agriculture, or industrial applications, is getting more sophisticated. There is no longer a time when the maintenance of filters and oil depended exclusively on fixed schedules, such as "every 250 hours" or "every 5,000 km." Nowadays, onboard sensors and condition monitoring systems provide instantaneous insights into the health of equipment and allow operators to make more informed decisions based on data.

This blog will explain the function of onboard sensors in determining what parameters they monitor and the best way to utilize these data points to determine the best oil and filter replacement intervals for your equipment.

The transition from scheduled to condition-based maintenance.

Traditional maintenance methods used regular intervals that were based on the manufacturer's guidelines. While it's simple, this strategy frequently leads to:

• In-Maintenance (changing the oil too early, causing increased costs)
• Under-maintenance (changing oil too late, risking damage)

With the advent of the concept known as condition-based maintenance (CBM), machines utilize sensors to track the actual operating conditions. Instead of figuring out when to change filters or oil, operators can take action by analyzing real-time information.

What are onboard sensors?

Onboard sensors are embedded electronic devices that are integrated into machinery to monitor vital parameters in real-time. The sensors transmit data to the central control unit, or the telematics system, which provides actionable insight and analysis.

Common systems comprise:

• ECUs are engine control units (ECUs)
• Hydraulic monitoring systems
• Telematics platforms (remote monitoring dashboards)

They continuously monitor the quality of oil, levels of contamination, and system performance.

Key parameters monitored by onboard sensors

To determine the appropriate time to change the oil and filter, Onboard sensors measure several crucial parameters:

1. Oil temperature

The temperature of the oil directly affects viscosity as well as performance. The excessive heat of the oil can cause it to degrade more quickly, which can reduce the capacity of lubrication.

• High temperatures mean more rapid degradation of oil
• Low temperatures can lead to contamination and condensation

Sensors track temperature fluctuations and assist in determining the moment when oil isn't working at its best.

2. Oil pressure

Pressure sensors for oil ensure that the lubrication system is operating properly.

• Low pressure can mean:
  • Oil degradation
  • Filter blockage
  • Internal leakage

A pressure drop may indicate the need for prompt inspection or replacement of the oil/filter.

3. Oil quality (dielectric or conductivity sensors)

Advanced machines make use of sensors for oil quality to determine:

• Oxidation levels
• Contamination (water, fuel, particles)
• Additive depletion

They provide a clear signal of oil's health and are among the most reliable instruments to determine change intervals.

4. Particle count (contamination monitoring)

Clean oil is crucial to ensure the longevity of your system. Particle counters determine the amount and size of contaminants that are present in the oil.

• More particles = more wear and a higher risk of contamination
• It helps determine whether filters are no longer efficient

This is particularly crucial in hydraulic systems, where contamination is one of the main causes of failure.

5. Filter differential pressure

Sensors determine the difference in pressure across the filter:

• The normal pressure drop means that the filter is operating effectively
• High pressure drop, which means a clogged filter.

This enables operators to change filters precisely when they are needed - not too early, and not too late.

6. Vibration and wear sensors

Some modern systems include vibration sensors that detect abnormal wear on components.

• The increased frequency could indicate:

Poor lubrication

Contaminated oil

Mechanical wear

These findings indirectly aid in determining the health of filters and oil.

How can sensor data be translated into maintenance decisions?

Onboard systems don't simply collect data; they also analyze it using algorithms. They can:

• Estimate the remaining useful life (RUL) of oil and filters
• Alerts to maintenance activities via triggers
• Set service intervals dynamically

For instance:

• If the temperature of the oil remains constant and contamination is minimal, the system could prolong the interval between oil changes.
• If the particle count increases, it could suggest replacing the filter immediately.

Benefits of using onboard sensors for oil and filter changes

1. Optimized maintenance intervals

Instead of using fixed schedules, maintenance is only performed whenever it is necessary.

2. Reduced operating costs

• Less frequent oil changes
• Lower labor costs
• Reduced time to shut down

3. Improved equipment life

Clean, well-maintained oils reduce wear and prolong the life of components.

4. Early fault detection

Sensors detect problems like overheating or contamination before they cause significant damage.

5. Environmental benefits

Eliminating unnecessary oil changes can reduce the environmental impact and waste.

Practical steps to implement sensor-based maintenance

Step 1: Understand your equipment

Verify if the machine includes sensors onboard. A lot of modern machines are equipped with:

• Sensors for the quality of oil
• Temperature and pressure sensors
• Telematics systems

If there is no aftermarket sensor kit, it can be used.

Step 2: Monitor key indicators regularly

Even with automation, operators must examine:

• Oil condition reports
• Sensor alerts
• Historical trends

This aids in validating system recommendations.

Step 3: Set thresholds and alerts

Limits acceptable for

• Temperature
• Pressure
• Contamination levels

If the thresholds are not met when they are exceeded, the system sends out alarms for maintenance.

Step 4: Combine information from the sensor with oil analysis 

While onboard sensors allow constant monitoring, regular analyses of oil in the laboratory provide more depth:

• Chemical composition
• Additive levels
• Wear metals

Combining both strategies ensures maximum accuracy.

Step 5: Train Operators and Maintenance Teams

Technology is only as efficient as the people who use it. Ensure your team understands:

• How do we interpret sensor data?
• When to take action on warnings
• How to properly perform maintenance

Challenges and limitations

While onboard sensors have numerous benefits, they also have their own problems:

1. Initial cost

The installation of sophisticated sensors and telematics can cost a lot.

2. Data interpretation

The incorrect interpretation of sensor data could cause poor maintenance decision-making.

3. Sensor calibration

Sensors need to be calibrated on a regular basis to ensure their accuracy.

4. Compatibility issues

Older computers might not have the capacity to handle advanced monitoring systems without updates.

Future trends in smart maintenance

The future of filter and oil maintenance lies in further advanced technology:

Artificial intelligence and machine learning

AI systems process huge amounts of sensor data in order to identify failures with great accuracy.

IoT integration

The machines connected via the Internet of Things (IoT) permit remote monitoring and predictive maintenance.

Cloud-based analytics

Data from multiple devices can be analysed centrally to improve the efficiency of fleet-wide maintenance strategies.

Real-world example

Imagine a hydraulic excavator working in a dusty area:

• Particle sensors detect an increase in contamination
• Filter differential pressure rises
• Oil quality begins to degrade

Instead of having to wait for a predetermined time frame, the system suggests:

• Instant replacement of the filter
• Changes in oil within a short time frame

This helps prevent costly repairs to valves and pumps.

Best practices for accurate interval determination

To make the most of sensors onboard:

• Make sure to use premium oil and filters
• Make sure sensors are clean and calibrated.
• Check the system's data regularly
• Do not ignore alerts
• Combining sensor data with manual inspections

Sensors onboard are changing the way we approach filter and oil maintenance. Through continuous monitoring of critical parameters like temperature and pressure, as well as contamination and the quality of the oil, these systems allow precise maintenance decisions based on condition.

Instead of relying upon outdated fixed intervals, service providers are now able to optimize their service schedules in accordance with actual operating conditions. This will not only lower costs but also increase the reliability of the equipment as well as efficiency and longevity.

While technology is continuing to advance and advance, it is expected that the combination of AI, IoT, and advanced analytics will further improve strategies for maintenance. This will make predictive maintenance the new norm across all industries.

The adoption of sensors to control change intervals for oil and filters isn't just about technology; it's an eco-friendly, smarter method of maintaining modern equipment.