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Corrective Maintenance: what it is, how it works, and when it’s applied in industry 

July 4, 2025

In industrial operations, failures happen—and often, it’s the response to these failures that determines the impact on plant performance. Corrective maintenance is the type of intervention that takes place after equipment breakdowns. It’s commonly applied to low-criticality assets or in operations with limited technical maturity.

Although sometimes unavoidable, corrective maintenance carries significant risks when used frequently. Unplanned downtime, increased MTTR (Mean Time to Repair), and safety hazards are just a few of the side effects of this reactive strategy.

In this article, you’ll learn the concept of corrective maintenance, the different types used in industry, their advantages and limitations, and how they compare to preventive and predictive approaches. We’ll also explore how to evolve your maintenance strategy using sensors and monitoring platforms, with a focus on reliability and cost reduction. 

What is Corrective Maintenance in Industry? 

Corrective maintenance refers to interventions carried out after a failure has occurred, with the goal of restoring the functionality of equipment or systems. It’s a reactive approach, where action is only taken once the asset has already experienced partial or total performance loss.

In practice, this type of industrial maintenance can be either emergency-based or planned, depending on the asset’s criticality, parts availability, and the maintenance team’s structure. However, regardless of planning, the core characteristic of corrective maintenance is its response to failure — not its prevention. 

This reactive nature introduces considerable operational risks. For critical assets, unexpected failures can halt entire production lines, waste raw materials, and compromise operator safety. Additionally, corrective maintenance often leads to increased downtime (MTTR), higher costs due to urgent parts and services, and reduced asset reliability. 

Therefore, while necessary in specific situations, corrective maintenance should not be the foundation of a modern equipment maintenance strategy. Next, let’s explore how it can be classified and applied more consciously. 

Types of Corrective Maintenance 

Although all corrective maintenance starts with a failure, it can be classified into two main types: planned corrective maintenance and unplanned corrective maintenance. Here’s the difference: 

Planned Corrective Maintenance 

Planned corrective maintenance occurs when a failure has been identified in advance, but the intervention is scheduled for a more suitable time. This is common when the asset is still operating in a degraded state, without an immediate risk of total shutdown. In such cases, the team can prepare with the necessary resources — such as parts, labor, and maintenance windows — minimizing production impact.

While still reactive, this approach reduces improvisation and improves operational predictability. It’s more common for low- or medium-criticality assets, where the risk of downtime doesn’t justify immediate action. 

Unplanned Corrective Maintenance 

Unplanned corrective maintenance happens in emergency situations, following a sudden and unexpected failure. In these cases, the asset stops without warning, interrupting processes and requiring an immediate response from the maintenance team. This is the most costly and disruptive type of maintenance, as it occurs without planning and typically demands urgent repairs, expensive parts, and extended downtime. 

Moreover, unplanned corrective maintenance is often linked to low asset management maturity, lack of predictive strategies, and increased exposure to safety risks, production delays, and reliability losses.

Examples of Corrective Maintenance in Industry 

Corrective maintenance is applied to various types of industrial assets, but some cases are more frequent due to natural wear or operation-related failures. Below are common examples of corrective maintenance

  • Electric motors: Coil burnout, bearing failures, or overheating require quick replacements to avoid production line disruptions. 
  • Gearboxes: Gear tooth wear, oil contamination, or internal component breakage are typical failures addressed through corrective actions.
  • Bearings: Failures caused by inadequate lubrication, misalignment, or material fatigue lead to unplanned downtime and immediate replacements.
  • Industrial pumps: Issues such as cavitation, mechanical seal wear, or clogging by solids are recurring problems that directly affect hydraulic system efficiency.
  • Conveyors and belts: Belt breakage, roller failures, or misalignment compromise material transport and demand quick fixes to prevent production bottlenecks.

These examples illustrate how corrective maintenance is present across various types of equipment. Understanding the root causes and impacts is essential for adopting more efficient maintenance strategies.

Advantages and Limitations of Corrective Maintenance

Corrective maintenance is performed after a component fails, with the goal of restoring its original functionality. While often seen as an emergency solution, it can be strategically applied in certain scenarios — provided that the asset profile, production impact, and associated costs are carefully evaluated.

Situational Benefits of Corrective Maintenance

Lower initial cost

Unlike predictive or preventive approaches, corrective maintenance doesn’t require upfront investments in sensors, monitoring software, or specialized data analysis personnel. This makes it financially viable for low-criticality and infrequently used assets.

Simplified execution

In cases where the component is easily accessible and replaceable, immediate correction can be carried out with minimal logistical impact. This applies to small equipment such as industrial fans, auxiliary valves, or secondary pumps.

Maximum utilization of component lifecycle

When applied in a planned manner, corrective maintenance allows full use of the asset until the end of its useful life, avoiding premature replacements. However, this is only acceptable when the failure does not compromise safety or the production process.

Limitations and Risks of Corrective Maintenance

Unexpected and Unscheduled Downtime

The main risk of corrective maintenance is the sudden interruption of operations—often at critical moments. As a result, it directly affects productivity and can trigger cascading delays across interdependent production lines.

Increased MTTR

The Mean Time to Repair (MTTR) tends to be higher, since failures occur without warning and require urgent diagnostics, unplanned parts procurement, and reallocation of technical staff. For critical assets, this extended downtime significantly impacts operational availability.

Risk to Physical Integrity and Operational Safety

In many cases, component failure can lead to hazardous situations such as overheating, leaks, ruptures, or overloads in other systems. This poses serious risks to operators and the environment.

Negative Impact on Asset Reliability 

The lack of continuous monitoring means failures are only detected once their effects are already visible. This reduces the Mean Time Between Failures (MTBF) and undermines key reliability and availability indicators across the plant.

High Indirect Costs

Although the initial cost may be lower, corrective maintenance often leads to higher long-term expenses. Key losses include: 

  • Waste of raw materials due to interrupted processes.
  • Collateral damage to associated components.
  • Productivity loss from unplanned downtime.
  • Fines or contract breaches due to missed deadlines.

In summary, corrective maintenance should only be applied to low-criticality assets, where failures do not compromise safety or plant operations. In all other cases, it should be gradually replaced by smarter strategies—such as predictive maintenance, which anticipates failures through continuous monitoring and real-time data.

Corrective, Preventive, or Predictive Maintenance: Which one should you apply? 

In practice, there is no one-size-fits-all approach for industrial maintenance. The choice of strategy depends on technical criteria such as asset criticality, production impact, available budget, and the maturity of both the team and the processes. 

The table below summarizes the key differences between the four levels of maintenance—corrective, preventive, predictive, and prescriptive—based on the most relevant decision-making criteria:

Table comparing four maintenance strategies: corrective, preventive, predictive, and prescriptive.

Corrective: Applied after a failure occurs; suitable for low-criticality assets, but limited by unpredictability, low reliability, and high emergency costs.
Preventive: Performed at scheduled intervals; reduces failures and offers moderate control, but may lead to unnecessary replacements and does not prevent unexpected breakdowns.
Predictive: Based on data and signs of imminent failure; enables timely intervention, reduces costs, and extends asset life, but requires technology and skilled personnel.
Prescriptive: Used in complex plants with critical assets; provides high accuracy, cost reduction, greater reliability, and safety, but demands significant investment in technology and digital infrastructure.

It’s important to note that the transition to more advanced levels—such as predictive maintenance — doesn’t happen overnight.It’s a gradual process that requires planning, training, and technology integration. For this reason, many plants adopt hybrid strategies, combining preventive maintenance for less critical assets and predictive maintenance for key equipment.

How to avoid corrective maintenance

Avoiding corrective maintenance is not just about reducing costs—it’s about ensuring operational predictability, safety, and asset reliability. This shift requires the implementation of structured practices and data-driven decision-making. In other words, replacing the reactive model with predictive and proactive approaches.

Here are the key strategies: 

1. Asset Criticality Analysis

The first step is to classify assets based on their impact on production, safety risks, downtime duration, and failure costs. This matrix guides which machines should be monitored more closely, preventing failures in critical equipment from being addressed only after they occur.

2. Continuous Condition Monitoring

The use of sensors to track variables such as vibration, temperature, and electrical current allows for the early detection of subtle behavioral deviations—before they escalate into failures. This enables proactive maintenance actions, reducing MTTR and avoiding unexpected interruptions.

3. Integration of Technical Inspections and Digital Data

Combining structured inspection routines with sensor data and lab analyses (e.g., oil analysis) enhances decision-making. Technicians and engineers can then act based on reliable evidence—not just visual assumptions or fixed intervals.

4. Maintenance Management Based on KPIs

Indicators such as MTBF (Mean Time Between Failures), MTTR (Mean Time to Repair), and recurrence rates help identify bottlenecks, assess the current strategy’s performance, and justify improvements to the maintenance plan.

5. Continuous Improvement Culture and Technical Training

Avoiding corrective maintenance also involves people. Teams must be trained to interpret failure signals, apply methodologies like Root Cause Analysis (RCA), and suggest data-driven interventions. The technical maturity of the team is crucial for an effective strategy.

Corrective Maintenance Frequently Asked Questions (FAQ) 

When should corrective maintenance be used?

Corrective maintenance is suitable when the asset has low criticality and its failure does not compromise safety, production, or other equipment. It can also be applied to redundant systems or easily replaceable components, where the cost and impact of downtime are minimal.

What are the risks of corrective maintenance in critical assets?

For critical assets, corrective maintenance poses high risks. Unexpected failures can lead to unplanned downtime, accidents, collateral damage to other components, and significant production losses. It also tends to increase MTTR and emergency intervention costs.

Which indicators should be monitored?

Key performance indicators (KPIs) for corrective maintenance include: 

  • MTTR: Average time required to restore the asset after failure;
  • Failure frequency: Number of occurrences over a given period;
  • Cost per intervention: Financial impact of each corrective event;
  • Operational availability: Percentage of time the asset is available for use.

Monitoring these metrics helps assess the strategy’s viability and identify opportunities for improvement.

How to justify the shift to predictive maintenance?

The justification should be data-driven. Present the history of corrective failures, financial impacts, accumulated downtime, and associated operational risks. Then, demonstrate how predictive maintenance—based on continuous monitoring and data analysis — reduces unexpected failures, optimizes resources, and improves asset reliability.

How Dynamox Sensors and Platforms support maintenance evolution

Corrective maintenance poses a risk to the reliability and safety of industrial operations. That’s why companies focused on uptime and failure reduction are adopting technological solutions to shift from reactive to predictive strategies.

Dynamox offers a complete ecosystem for this transition, combining sensors, gateways, and software in an integrated continuous monitoring platform. With this setup, you can monitor the condition of critical assets in real time, reduce MTTR, and act before severe failures occur.

Our solutions include:

  • Smart wireless and wired sensors (DynaLoggers) for continuous monitoring of vibration, temperature, and other parameters
  • Portable sensor (DynaPortable) for quick inspection routes with low initial investment;
  • Current and voltage sensor (Enging technology) for early diagnostics in electrical equipment;
  • Gateways (DynaGateway) for automated and remote data collection;
  • DynaPredict platform for failure analysis, alerts, and real-time asset management;
  • Artificial intelligence (DynaDetect) for automated diagnostics and intervention prioritization

By integrating these tools into your maintenance plan, your plant gains predictability, reduces emergency downtime costs, and strengthens a culture of operational reliability.

Talk to our specialist and discover how our solutions can transform your maintenance strategy!

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