Intro Ive been investigating the new Monitron hardware from Amazon Web Services (AWS), and while it may be an interesting offering, it’s actually nothing new in the area of IoT-enabled vibration sensing. What is interesting, however, is that AWS sees some merit in releasing such a devic

In our last post, we looked at the rise of predictive maintenance (PdM), and why so many vendors - and their customers - continue to get it wrong. Here we’ll explore how we’ve applied what we’ve learned about Predictive Maintenance over the years to everything we do today. The combinati

In our last post, we looked at how we’ve applied what we’ve learned about predictive maintenance over the years to everything we do today. Here we’ll explore how all of this experience and understanding has made Senseye PdM the leading predictive maintenance product on the market. Yea

In this blog, we share some of the lessons we’ve learned from both successful and unsuccessful PoCs. We’d love to be able to say that all our PoCs have achieved their end goals of scaling, but this would be ignoring valuable insights that we can now share to help you to avoid making the

Over the last three posts, we’ve looked at the rise of PdM, why so many vendors - and their customers - get it wrong, and how we apply all that we’ve learned about predictive maintenance over the years to everything we do today, making Senseye PdM the leading predictive maintenance prod

Senseye has announced the launch of Senseye Ready - an ecosystem of partner products that offer direct integration with their Senseye PdM product suite and is included in our Senseye PdM Starter kit. A common barrier to predictive maintenance projects is availability of reliable data f

The fourth industrial revolution has provided the opportunity to obtain huge amounts of real-time data from manufacturing processes, and the potential for almost every surface to be transformed into a sensor for data collection. But does this wealth of data provide the knowledge digital

With increased emphasis on predictive maintenance seen as one of the major trends that will dominate manufacturing in 2021 and beyond, how should manufacturers start to tackle the challenge of assessing and responding to machine health insights? In this film, Senseyes Alexander Hill an

How do manufacturing and other industrial organisations move from traditional, scheduled maintenance to proactive, predictive maintenance? What are the first steps required to begin this transformation? What are the different stages in the journey, from the initial business case and des

What are the pitfalls that cause predictive maintenance projects to fail and how do you avoid them? How do you ensure teams acquire the condition monitoring expertise and appropriate ‘best practice’ for predictive maintenance as part of wider digital transformation projects?  In t

Industrial organisations are going through a rapid period of digital transformation, with renewed interest in the Internet of Things (IoT), data collection, and smart analytics to drive more informed decisions. With increased emphasis on predictive maintenance, how is the role of mainte

While the smart benefits of smart factories are widely recognized, few organisations are building them from scratch. The majority of manufacturers seeking to become smarter are starting the journey with legacy sites and diverse machine environments. In this film Senseyes Alexander Hill

For the second part of our AWS series, we explore Amazon’s shift into the predictive maintenance market. Amazon recently announced how seriously it is taking this space in a further move that signals a real validation of the maturity of the methodologies and technologies supporting pred

Highlighted in a 2018 McKinsey report, many industrial companies are experiencing “pilot purgatory” and continue to be doing so – a phenomenon in which, while they have significant activity underway, they have yet to see any meaningful bottom-line benefits.  Breaking out of this p

Senseye, an industry leading AI driven asset health management company, has launched its new plug and play Starter Packs to help organization’s rapidly begin their predictive maintenance journey. The packs, which combine sensor hardware with Senseye’s award winning PdM software, means

After graduating from Durham University with a PhD researching the impact of drive train dynamics on the physics of failure of wind turbine components, I joined the rail sector, performing asset management and maintenance support roles. In 2018 I joined Senseye to provide technical supp

Senseye, an industrial software company using AI for machine health management, has announced a new release of Senseye PdM Enterprise, featuring the ability to create virtual sensors from existing data sources. Data collected from machines are often not ideally suited for AI-driven pr

Unplanned downtime is the curse of the industrial sector. When expensive production lines and machinery fall silent, organizations stop earning and those investments are costing rather than making money. Using data from our True Cost of Downtime report, this infographic looks at the hu

Artificial intelligence (AI) underpins today’s automated predictive maintenance (PdM) solutions. For instance, Senseye PdM’s algorithms alert users to deteriorating machinery in time to prevent a breakdown, delivering a wealth of associated benefits such as reduced downtime and a more t

Welcome to the brand new Trend Detection podcast, powered by Senseye, an industry leader in using AI to drive scalable and sustainable asset performance and reliability. This is a new publication designed to help you go away with ideas on how to achieve maintenance efficiencies. Today