What is Mean Time to Detect (MTTD) and How to Use and Improve It?

Article Written by:

Ganesh Veerappan

Created On:

June 14, 2023

What is Mean Time to Detect (MTTD) and How to Use and Improve It?

Table of Contents:

Silence is not necessarily golden in the facility management and manufacturing world. In some cases, it implies that there is an issue that is brewing in the unnoticed asset, which is important.

Take an example of a conveyor belt that vibrates a little too late or an HVAC machine that loses its effectiveness gradually. And when you do not realize that it is taking place, then you cannot repair it. This time of not knowing is where destruction of your equipment as well as your bottom line is likely to happen.

That is where Mean Time to Detect (MTTD) enters the picture. The watchdog metric is what gauges the alertness of your maintenance team. Here, we shall subdivide the definition of MTTD, the differences between it and other measures of reliability such as MTTR, and how you can use contemporary tools like Cryotos CMMS to identify problems before they turn into costly failures.

What is the Mean Time to Detect (MTTD)?

Mean Time to detect or Mean time to discover (Mean Time to Detect (MTTD)) is a Key Performance Indicator (KPI) of maintenance and asset management.

It is the mean second it takes the time between the initiation of a failure (bearing freezing, leakage, voltage drop) and the time at which your technicians, operators, or monitoring sensors are notified of its happening.

Why It Matters

MTTD is considered a "first domino" metric. The speed of detection dictates the speed of the entire repair process.

  • Prevents Catastrophic Failure: Failure: A small MTTD enables technicians to identify small wear and tear (such as a hot motor) before it leads to an overall burn out.
  • Reduces Safety Risks: A small leak in hydraulic tools can be detected early before staff can fall on the floor or have dangerous spills.
  • Protects Production Targets: In the manufacturing industry, a large MTTD would imply that you could be making bad products hours before anyone realizes that the machine is not in calibration.

How to Calculate MTTD

The MTTD formula is very simple. You add all the time that was spent in detecting failures within a particular period and divide the sum with the incidences.

Formula: MTTD = Sum of Incident Detection Times/ Number of Incidents

Example: In case your facility has 10 equipment failures within one month and the total amount of time on each failure is 30 hours here your calculation would be:

  • 30 hours (1,800 minutes) / 10 incidents = 3 hours MTTD

This is an average of 3 hours that your equipment is running in a failed or degraded condition before anybody notices.

MTTD vs. MTTR vs. MTBF: Clearing the Confusion

To control the reliability of assets, you should consider these measurements as an asset breakdown schedule. They narrate about an asset lifecycle: duration of running, time to realize that something is wrong, and time to repair it.

The following is the breakdown to dispel the confusion:

MTTD (Mean Time to Detect)

  • Question: How soon shall we find out that the machine was in a fix?
  • The Focus: tracking the efficiency and operator consciousness.
  • The Goal: Lower is better. You would like to know about things immediately.

MTTR (Mean Time to Repair)

  • Question: How much time did it take to get the problem fixed after we discovered it?
  • Focus: The efficiency of your technicians and inventory of spares.
  • The Goal: Lower is better. This includes diagnosis, part replacement, and testing.

Note: MTTD can be improved to decrease MTTR. Early detection of loose bolt (Low MTTD) is always a few minutes to repair. It may require days to catch it after it shears off (High MTTD).

MTBF (Mean Time Between Failures)

  • Question: How many smooth hours are there between breakdowns of the assets?
  • The Focus: The quality/reliability of equipment.
  • The Goal: When the value of MTBF is high, your assets are seldom broken.

The Takeaway: You should have all three. There is a false sense of safety over a machine that is highly reliable (High MTBF) and slow to detect (High MTTD). And when it does fail, it can cost you thousands of dollars to realize it.

The High Cost of a Slow MTTD

A slow MTTD is considered a silent killer in the operation of facilities. This delay is not only costly in terms of operation, but it also affects the whole business.

The Financial Impact

There is a linear correlation between the financial loss and the detection time. In the manufacturing industry, downtime expenses may cost thousands of tens of dollars in an hour. Assuming MTTD of 4 hours, that is, 4 hours in which a machine may be running at half-speed, resulting in unnecessary energy use, or making scrap material before the repair process has even commenced.

The "Operator Reliance" Trap

When you are only depending on machine operators to report the problem, then your MTTD is necessarily beyond the required level. Internal damage is frequently serious when an operator hears an odd noise or vibration. Using manual reporting will ensure that you are never responding to the issues but preventing them.

Increased Asset Depreciation

Operation equipment under failed condition increases wear and tears. Even a slight misalignment, which may go unnoticed in a matter of weeks, can ruin a gearbox. This is causing you to write down costly assets many years ahead of schedule, which is increasing your capital expenditure (CapEx).

Strategies to Improve Your MTTD

To decrease MTTD, the change will be made between reactive waiting and proactive monitoring. The following are some of the major measures of sharpening your detection skills:

Implement Condition-Based Monitoring (CBM)

The major cause of high MTTD is blind spots. Even when no one is present; you have to make sure that your critical assets are under watch. Move away from "run-to-failure." Real-time assets health is monitored using CBM techniques. This will make sure that a decrease in pressure or a burst in temperature will sound like an alarm immediately.

Leverage IoT and Smart Sensors

The final tool towards reducing the MTTD is IoT sensors. These are low-cost gadgets that can be attached to the motors, pumps, and panels to monitor the vibration, temperature, and noise.

  • Manual: A technician must check the motor once a week (MTTD = up to 7 days).
  • IoT: The motor is checked by a sensor on a one-second basis (MTTD = close to zero).

Digitize Operator Rounds

It is sometimes a human eye that makes the best sensor, however, assuming that the data must be taken in real time. Don't use paper checklists, use mobile apps. Once an operator identifies a leakage during a daily round, he/she should be in a position to take a picture and share it immediately. This gets rid of the days of delays of paper forms just sitting on a desk.

Conduct Root Cause Analysis (RCA)

When a big breakdown occurred, I request: Why did it take us so long to realize this? Was the sensor not calibrated properly? Was the operator negligent of the warning light? The first step towards bridging the gap is the identification of the detection gap.

How Cryotos CMMS Drastically Reduces MTTD

To maintenance teams, more robust data and communication is the key to the fight against high MTTD. It is at this point that Cryotos CMMS (Computerized Maintenance Management System) will change your operations.

Cryotos is designed to bridge the gap between failure and detection through intelligent automation:

  • IoT Integration for Instant Detection: Cryotos is integrated with IoT sensors and SCADA systems that can be triggered instantly when an asset surpasses a predefined threshold and find applications that could save hundreds of hours of detection by cutting down time to seconds.
  • Automated Work Order Triggers: The work orders are auto generated and sent to technicians through the mobile application. A fault is now identified, and administrative delays are removed.
  • Mobile Reporting for Immediate Action: Endow floor employees with the authority to report problems at any time with photos and descriptions through the mobile application so that the maintenance crews are informed about the problems in real-time.
  • Predictive Analytics to Spot Trends: Our dashboard uses historical data from an asset to see trends in the performance of the asset, and thus, you can be in a position to know when something is about to fail even before it happens.

Cryotos will save you money and time by preventing errors by the fact that you can replace your manual logbooks with automated ones and spot the mistakes when they are simple solutions to a problem.

Conclusion

Asset reliability is the key in a competitive industry. Mean Time to Detect (MTTD) is not just a figure, but it is evidence of the responsiveness and cognizance of your maintenance crew. Reduced MTTD will result in reduced downtime, reduced costs of repairs, and a safer facility.

In knowing the distinction between MTTD, MTTR, and MTBF, and using intelligent methods of monitoring, you can stop the fires and begin preventing them.

Ready to eliminate blind spots in your maintenance operations? See how Cryotos CMMS can help you detect issues instantly and keep your facility running smoothly.

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