The instruction set of the Allen-Bradley ControlLogix and CompactLogix controllers is quite extensive. So it is no surprise that there are many instructions that the average user may never use or even be aware of. The Split-Range Time-Proportioning instruction, abbreviated SRTP, is no exception.&nb

How to Adapt to Digital Transformation There are many digital transformation trends in manufacturing. Additive manufacturing, connected devices, cloud services, and more help businesses gain control in an ever-changing world. Many companies are talking about digital transformations, but r

How to Adapt to Digital Transformation There are many digital transformation trends in manufacturing. Additive manufacturing, connected devices, cloud services, and more help businesses gain control in an ever-changing world. Many companies are talking about digital transformations, but r

In the initial days of computers, scientists primarily used them to perform simple mathematical and logical operations. Then, computers slowly evolved to execute complex calculations, elaborate problem-solving, and form the information backbone of the world. Moving beyond the scope of traditional c

Starting an Industrial Motor An industrial motor starter is a device that facilitates the required power for a three-phase induction motor to start. Any electrical motor will draw the most current (five to six times nominal current) when the motor is stalled. During the starting phase, the motor is

This short series covers drivers in digital transformation. Below are links to previous articles in the series. Does 3D Printing Continue to Drive Digital Transformation? The Relationship Between Predictive Maintenance and Digital Transformation How to Use Data to Drive Digital Transformation

Deep learning is an invaluable tool in the arsenal of data analysts with new applications in different spheres, including industrial applications. The basic working principle of deep learning is using large volumes of data to build a model that can make accurate predictions. Let us consider a small

As the level of automation increases in manufacturing, so does the need and the benefit for remote access of control systems and data. In process manufacturing industries, remote access allows operators and engineers to control equipment, analyze data, and troubleshoot the system from laptops, smar

Autonomous maintenance is a concept followed in various industries where actual machine operations are involved at the ground level of manufacturing. Essentially, this type of maintenance works by the machine detecting the potential cause of failure and completing the necessary maintenance itself.

What is Mean Time to Recovery (MTTR)? In automation software, MTTR (mean time to recovery) is a metric used to determine how easily equipment can be diagnosed and restored to automatic operation. MTTR is the average time taken to restore a machine to a productive state and provides a good baseline

Data lake and big data are two modern terms often misconceived and used incorrectly. Due to the implied large volumes of data, these terms are sometimes used interchangeably. However, data lake and big data are different, even though their current definitions might not yet be fully established. &nb

Computational fluid dynamics (often abbreviated CFD) is used in various industries and applications. From engineering efficient ways to keep an SoC (System on a Chip) cool enough to function properly to helping race cars shave a few more seconds off their time, computational fluid dynamics rem

Since the arrival of big data, modern computer science has been reaching new capabilities and processing power benchmarks. Nowadays, it is not uncommon to find applications that produce data sets of 100 terabytes or more, which is considered big data. With such large volumes of information at hand,

Industry 4.0—often called the fourth industrial revolution—brings a wave of digitalization that reshapes every facet of the supply chain. From real‑time data collection to AI‑driven decision making, it delivers unprecedented transparency, efficiency, and agility. Industry 4.0: The Digital Backbone o

Industrial Internet of Things (IIoT) blends IT and OT into a single ecosystem, but OT’s unique demands mean it can’t safely adopt the same patch‑centric security model used in IT. A disciplined threat analysis approach offers a more resilient, cost‑effective solution. Why OT Cannot Follow IT’s Patch

Introduction Over the past decade, technology has reshaped virtually every sector—communication, transportation, and even personal relationships. In healthcare, the impact is even more profound, turning routine care into a data‑driven, AI‑enhanced ecosystem. The Healthcare‑Tech Hybrid Technology is

Manufacturing is in the midst of a profound transformation. Outsourcing pressures and rapid automation adoption are reshaping production lines, while plant closures in Michigan and Ohio spark legitimate concerns about job security. Moving Forward: No Return to the Past Labor shortages are now a 17‑y

As the number of tech‑savvy users rises, public‑access computing has become essential for organizations across education, retail, banking, healthcare, and libraries. Shared, internet‑powered workstations are now a common sight in these sectors. These devices deliver instant access to digital resourc

Cloud computing has become the backbone of modern IoT solutions, offering more than just scalability and cost savings. Below, we break down three key ways the cloud adds value to IoT initiatives. Key Cloud Advantages for IoT #1 The Cloud Enables Seamless Data Integration Enterprise data—

Decentralization has long been a cornerstone of human society, beginning in small Neolithic communities where every member was accountable to the group. These tight‑knit societies relied on mutual trust and collective responsibility, making centralized authority unnecessary. As agriculture emerged,