Predictive maintenance technology detects potential equipment failures before they occur, avoiding or minimizing downtime. Machine learning is a powerful tool that analyzes data, learns, and creates increasingly accurate predictions. Together, predictive maintenance and machine learning will improve the reliability of an organization's maintenance and asset management strategy.  Below, we'll discuss the basics of predictive maintenance and machine learning and how each technology enhances the other. Predictive Maintenance and the Intelligent Facility According to recent research, over 41% of today's facilities employ predictive maintenance using advanced data analytics tools to reduce downtime, improve ROI, and increase the overall longevity and efficiency...

Industrial machines are essential to normal daily operations. Unfortunately, they are not immune to breakdowns. Machine failure is a term that refers to the failure of a machine to perform its normal functions, leading to a partial or complete loss of utility.  This article will shed light on some of the main reasons why machine failure occurs. We will also suggest actionable strategies to prevent machine failure, highlighting why using a Computerized Maintenance Management System (CMMS) like LLumin’s CMMS+ can help improve equipment performance and reliability.  Common Causes of Machine Failure These are some of the top leading causes of...

Transforming the Oil & Gas Industry with Predictive Maintenance As someone who's deeply involved in the Oil & Gas sector, you know the challenges well. From ever-changing regulatory environments to the growing demands for safe and efficient operations, the pressure is relentless. You need a transformative strategy that promises operational excellence. The practice of Predictive Maintenance, supported by sophisticated CMMS features, can deliver on that promise.  What Is Predictive Maintenance? The Oil & Gas Industry Landscape How Predictive Maintenance Transforms Oil & Gas Operations The Importance of Predictive Maintenance in Oil & Gas Why Choose LLumin's CMMS+ for The Oil...

Predictive maintenance analytics is a field of data analytics that assists organizations with their asset maintenance. Through predictive maintenance, organizations can determine when their assets are most likely to fail, optimizing their maintenance tasks and improving their operational efficiency. Predictive maintenance analytics is used throughout industries such as utilities and power, food and beverage, oil and gas, and industrial manufacturing. What Is Predictive Maintenance Analytics? By analyzing data collected from machine-level sensors, predictive maintenance analytics identifies patterns that indicate when a machine is likely to experience a failure. This information can then be used to schedule repairs or replacements before...

In the arena of pharmaceutical manufacturing – where precision is paramount, and downtime can mean millions in losses – predictive maintenance has emerged as a game-changing practice. Because product integrity and production uptime are non-negotiable, embracing predictive maintenance is no longer an option to consider – it's essential.  Pharmaceutical manufacturers are turning to predictive maintenance as a key strategy for ensuring the perpetual operation of production lines, safeguarding drug quality, and adhering to industry regulations. A forward-looking, proactive maintenance approach optimizes equipment efficiency and facilitates compliance with stringent regulatory standards, making it indispensable to the pharmaceutical sector. What Is It?...

When dealing with critical equipment, it’s crucial to minimize uncertainties in maintenance planning and budgeting. The world of proactive strategies offers a game-changing approach: Predictive Maintenance (PdM).  PdM falls under condition-based monitoring (CBM) and utilizes machine-level sensors, Internet of Things (IoT) technology, and advanced data analytics to monitor and diagnose mechanical failures. It excels at spotting early signs of impending machine faults or failures.  This early detection, in turn, maximizes equipment uptime and substantially reduces maintenance expenses. In this guide to predictive maintenance within the automotive manufacturing sector, we'll explore the merits of PdM, the challenges and solutions it presents,...

Implementing a predictive maintenance (PdM) program can be a competitive advantage. PdM uses data collected from machine-level sensors and condition-based maintenance to predict equipment failure well before it leads to breakdowns and unexpected downtime.  If you're considering implementing a PdM program and are on the fence, you should know that when done correctly, PdM can save you money and extend the life of your equipment.  In this article, we'll define a PdM program and walk you through the steps necessary to create and implement an effective program. We'll also discuss how LLumin’s advanced CMMS+ (computerized maintenance management system) could help...

Maintenance no longer relies on inefficient manual processes, and it's critical to understand that staying competitive will require staying one step ahead of legacy industry standards and practices. Traditional maintenance strategies based on reactive (run-to-failure) or preventive approaches have helped improve equipment performance. However, to maintain a competitive advantage in today's fast-paced market, newer, cutting-edge maintenance strategies are needed, and this is where predictive maintenance can be a game changer. Predictive maintenance (PdM) is a data-driven approach to maintenance that has gained popularity in recent years. This maintenance strategy uses AI, IoT, and machine-level sensors to collect real-time data and...

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,...

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...