What Is Predictive Maintenance? The Complete Guide

Predictive maintenance is a new maintenance strategy that uses historical data and advanced algorithms to "predict" when equipment will fail with high accuracy. The Industrial Internet of Things (IIoT), machine-level sensors, and Artificial Intelligence (AI) technologies are used in this maintenance strategy to gain insight into the real-time condition of critical assets. Predictive maintenance (PdM) enables organizations to make informed decisions to improve maintenance operations by analyzing historical and real-time data from machinery and systems. And this strategy has several advantages over traditional methods. This guide will answer the question "What is Predictive Maintenance," and explore its benefits and challenges,...

Top Predictive Maintenance Challenges & How to Overcome Them

Predictive maintenance (PdM) is a powerful tool to help businesses keep their equipment running smoothly and avoid costly downtime. However, implementing a PdM program is not without its challenges. In actuality, this maintenance strategy requires much more support than just the initial investment in hardware and software. To achieve the best results, it will be necessary to continuously monitor, train, and make data-driven improvements.  So today, we will discuss some of the challenges a business could face when implementing a predictive maintenance program. After introducing those challenges, we will discuss how LLumin’s Computerized Maintenance Management System (CMMS+) is a one-stop...

Predictive Maintenance Checklist

Predictive maintenance (PdM) is a proactive maintenance approach known for its ability to optimize maintenance and asset management operations, reduce downtime, improve machine performance, reduce costs, and enable data-driven decision-making. However, before you can reap the benefits, you must successfully integrate predictive maintenance into your facility's process structure, which will require an upfront investment in equipment, software, personnel training, and stakeholder buy-in. Nevertheless, predictive maintenance will deliver the results you hoped for with a well-planned implementation project combined with ongoing training, monitoring, and management. For those implementing or upgrading PdM strategies, this article provides key recommendations for developing a comprehensive...

Predictive Maintenance in Manufacturing: The Ultimate Guide

If your current maintenance strategy relies heavily on guesswork, your company could find itself unprepared to deal with unexpected machine failures and expensive repairs. If you’re managing mission-critical equipment, reducing the number of unknowns involved in maintenance planning and budgeting is essential, especially when guesswork and uncertainty can expose you to increased financial and operational risks.  This is where being proactive can make all the difference. Predictive Maintenance (PdM) is a type of condition-based monitoring (CBM) that monitors and diagnoses mechanical failures using machine-level sensors, Internet of Things (IoT) technology, and advanced data analytics. PdM can detect early signs of...

Predictive Maintenance Strategy: Achieve Maintenance Excellence

Reliability managers who are utilizing Industry 4.0 technologies and best practices to achieve high production levels and lower maintenance costs are likely to be aware of the advantages of predictive maintenance. A predictive maintenance model can generate significant benefits in the right circumstances, giving you accurate outcomes by using the rightmaintenance strategy, the right tools, and the right  implementation. Today we will discuss how organizations can maximize their cost savings and uptime by ensuring that their computerized maintenance management system (CMMS) is fully optimized. We'll also highlight how LLumin’s powerful and unique CMMS+ delivers the necessary features and functionalities to...

The Importance of Predictive Maintenance Anomaly Detection

A maintenance technician evaluating predictive maintenance anomaly detection
Outdated and inefficient maintenance strategies can reduce machine productivity and lead to increased downtime. Unfortunately, planned and unplanned maintenance downtime can cause significant financial loss. Next-generation predictive maintenance anomaly detection can improve a company’s maintenance strategies and asset availability.  Anomaly detection is central to predictive maintenance. Its primary goal is detecting anomalies in working equipment early on and alerting facility management to perform necessary maintenance. Predictive maintenance provides several benefits, including allowing companies to extend the useful life of their assets, avoid unplanned downtime, and reduce planned downtime.  Today we will discuss why anomaly detection is a core function of...

Predictive Maintenance Cost Savings: Reduce Your Maintenance Costs

Chief engineer discusses predictive maintenance cost savings.
The manufacturing industry is facing new challenges due to a combination of economic forces, labor shortages, disruptions caused by advanced technologies, and rising competitive and regulatory standards. Implementing a cost-effective predictive maintenance model can be the difference between a company staying competitive or falling behind. Maintenance and engineering managers can benefit from using a predictive maintenance (PdM) model in several ways, including avoiding costly asset breakdowns, unplanned downtime, and overdoing preventative maintenance, which can lead to increased operational costs and decreased productivity. Today, we will discuss the predictive maintenance cost savings to be expected from implementing LLumin’s powerful and competitively...

Predictive Maintenance Best Practices

Predictive maintenance with words written around it that are predictive maintenance best practices.
Moving to a predictive maintenance (PdM) approach can appear complex and costly, but it does not have to be. A step-by-step strategy combined with the correct software solution can make this a simple procedure that yields tremendous rewards. However, it is critical that you do not seek to transform your whole maintenance model into a predictive maintenance operation all at once. If you're just starting, running a pilot focused on one department or work cell, especially one that consists of business-critical machinery and equipment, is crucial. Then, based on the initial trial results, you will be able to adjust your...

The Top Benefits of Predictive Maintenance

A man looking at a tablet on a rooftop at an industrial facility. The benefits of predictive maintenance include data that makes it easier for technicians to complete their jobs efficiently.
Updated on June 13, 2023 A decade ago, predictive maintenance was relegated to only the most advanced global enterprises. Today, advancements in cloud computing, sensor-driven technologies, and high-speed networks have made predictive maintenance accessible to everyone. Still, McKinsey notes that many organizations are faltering regarding implementation.Let’s discuss some of the top benefits of predictive maintenance and what keeps companies from reaping the benefits. What Is Predictive Maintenance and How Does It Work? Predictive maintenance uses data gathered from sensors, algorithms, and historical data to anticipate equipment failures. By analyzing past performance and trends, predictive maintenance can help you proactively schedule...

Predictive Maintenance & Life Cycle Management: Get The Most Out Of Your Assets

Facility manager using predictive maintenance software)
Facility success or failure often depends on the ability to minimize costs while maintaining asset performance, and to repair assets quickly when necessary. However, accomplishing this is easier said than done—especially for facilities that attempt to maintain a manual maintenance program. When an asset requires repairs or maintenance, the appropriate personnel must be alerted, replacement components must be ordered (if not already available), and any maintenance work should incur minimal facility or asset downtime. Determining when an asset requires replacement and preparing for that eventuality presents an additional challenge. Asset service life varies considerably based on the application, frequency of...