WHITE PAPERS FROM SENSEYE
These white papers will give you in-depth insights and practical advice across a variety of condition monitoring, predictive maintenance and Industry 4.0 related topics.
Moving from a reactive to a Predictive Maintenance approach requires a change of mindset and structure within an organization. From the top down, the focus must shift to one of continuity and efficiency through the use of data and technology.
This white paper looks at the role of IT team to deliver value, the effect of work events on machinery data and the best practices for data collection and transfer.
Download your free Improving PdM With Maintenance Data white paper
Organizations can reap big rewards by freeing up their data. The availability of unprecedented levels of process and operational data, combined with smart technologies that interpret that data and turn it into actionable information, is enabling users to make better business decisions.
This white paper looks at the role and importance of data in asset management and the obstacles many organizations face achieving Industry 4.0.
Download your free Data Is The New Currency white paper
Predictive maintenance and other connected technologies associated with the smart factory revolution offer huge opportunities for production efficiency and visibility, but they also bring a new operational risk – security.
This white paper looks at the security considerations organizations should be taking note of when implementing a scalable predictive maintenance program.
Download your free Security Considerations for Scalable Predictive Maintenance white paper
ELIMINATE OVERSPENDING ON MAINTENANCE
Unplanned downtime can cost businesses dearly, so it’s no surprise that downtime reduction tops most wish-lists when it comes to making the switch from planned to Predictive Maintenance (PdM). However, there are other big rewards on offer.
For maintenance professionals, the consequences of over-maintenance maybe harder to measure, but eliminating it can make a big difference to operating costs.
This white paper looks at whether over-maintenance can be avoided, how PdM can help eliminate maintenance overspend, and the welcome boost PdM makes to the bottom line and the ROI industrial companies can expect.
Download your free “Eliminating Overspending On Maintenance” white paper
VERDANTIX REPORT: SENSEYE PROVES THE VALUE OF AI-POWERED PREDICTIVE MAINTENANCE
Verdantix is an independent research and consulting firm with a focus on innovative technologies that optimize business operations.
Verdantix investigates how Senseye’s technology uses machine learning to prevent unplanned downtime and extend asset life and how Senseye helps industrial firms and equipment manufacturers deliver on their maintenance goals. The report then recommends why firms with mature maintenance strategies looking to reduce asset downtime and maintenance costs while extending asset life should consider adding Senseye PdM to their asset management stack.
Download your free Verdantix Report
ARE YOU READY FOR PREDICTIVE MAINTENANCE?
A wave of new industrial technologies is enabling a revolution in the way companies approach maintenance and asset management.
Automated condition monitoring systems can combine with cloud delivery to bring the widespread use of Predictive Maintenance(PdM) within the reach of many users for the first time.
This white paper looks at what pre-requisites are needed to enable organizations to make the switch to Predictive Maintenance, the steps organizations need to take to make PdM a reality, and how to maximize the benefits that this maintenance practice brings.
Download your free “Are You Ready For Predictive Maintenance?” white paper
RUNNING AN INITIAL DEPLOYMENT (ID) WHITE PAPER
The advent of Industry 4.0 has seen condition monitoring and predictive maintenance develop from manual machinery checks and recommended maintenance schedules to understanding and managing ongoing machinery health, servicing each piece of equipment as required rather than as a maintenance schedule dictates.
This white paper looks at why you should carry out an initial deployment, the areas to consider and put in place before starting an initial deployment, and what success metrics to consider for an effective evaluation.
Download your free Running an Initial Deployment (ID) white paper
AI ISN’T MAGIC
Artificial intelligence (AI) is already a part of our everyday lives. Whether asking Alexa to play your favorite song or using Google to find information, the use of AI is no longer the subject of science fiction and theoretical papers; it is reality. But what is it exactly, what can it be used for and will it help or hinder organizations and their workers?
This white paper looks at the three stages of AI, how it can have a large impact on factories, and why pairing human skills with AI technology can enhance overall performance.
Download your free AI Isn’t Magic white paper
PROGNOSTICS: GOING BEYOND CONDITION MONITORING
Prognostics is about forecasting the risk of failure long before there is an operational impact, providing a time to the failure (Remaining Useful Life, RUL). It is achieved through combining condition indicators to determine a degradation indicator that is modeled and tracked.
This white paper explores some of the background of prognostics, what questions to ask when evaluating a prognostics tool and how technologies such as the Industrial Internet of Things are helping to make it accessible.
Download your free Prognostics white paper
CONDITION MONITORING: PAST, PRESENT AND FUTURE
Condition monitoring is not a new idea, but traditional barriers of cost, complexity and scalability have previously prevented many more businesses from enjoying the enormous benefits on offer. However, we are now at a tipping point where new technologies such as Industry 4.0 are sweeping those barriers away.
This white paper considers where we’ve come from with condition monitoring, the changes that are currently taking place and what organizations need to consider for future implementations.
Download your free Condition Monitoring white paper
Our Playbook 2018 contains all of our white papers published in 2018 in one handy download.
We’ve explored topics on a wide range of subjects including servitization, security considerations for scalable predictive maintenance and the importance of regime recognition for condition-based maintenance.
Download your free Playbook 2018
Servitization has traditionally seen success in niche areas such as aerospace, with Rolls Royce’s ‘Power-by-the-Hour’ program arguably the most famous example. Now with Industry 4.0 gaining momentum, sectors as wide-ranging as offshore wind, white goods and food & beverage all stand to gain from servitization arrangements.
This white paper looks at why manufacturers should be embracing the opportunities servitization can bring, the sectors that have already benefited and the role it can play in providing greater openness in the supply chain.
Download your free Everything As a Service: How servitization changes every business white paper
Before thinking about what to measure, it’s important to be clear on your motivations for implementing a condition monitoring program and exactly what you want to achieve.
This white paper, written in conjunction with Andy Gailey from Uptime Consultant, looks at the types of assets you should be measuring and the types of data you need to be collecting to enable predictive maintenance.
Download your free Effective Condition Monitoring: An Enabler for Predictive Maintenance white paper
Switching to a predictive maintenance regime can slash the number of machine breakdowns and unplanned downtime, as well as helping manufacturers to target maintenance efforts where they’re needed. But what’s stopped many organizations from making the switch?
This white paper looks at the obstacles manufacturers need to overcome, how the arrival of smart technologies has helped tackle some of these challenges, and the potential impact predictive maintenance can have on ROI.
Download your free Maximize ROI with the Right Condition Monitoring Solution white paper
Industrial maintenance teams are under increasing pressure to keep machinery running and to optimize its lifespan. The low-hanging fruit have been plucked and attention now turns towards more effective maintenance strategies.
This white paper looks at how the Industrial Internet of Things has enabled prognostics and condition monitoring technology to become more accessible and be applied much more widely.
Download your free using the IIoT to Predict the Remaining Useful Life of your Assets white paper
THE IMPORTANCE OF REGIME RECOGNITION FOR CONDITION-BASED MAINTENANCE
Condition-based maintenance and Predictive Maintenance benefits are significantly enhanced if there is a mechanism to characterize the operating mode of the machine using operating state (regime) recognition.
This white paper explores the importance of collecting reliable and meaningful trending data, how to define operating regimes and the relationship between regime recognition and condition-based maintenance.
Download your free Regime Recognition white paper
FROM CONDITION MONITORING TO PREDICTIVE, CONDITION-BASED MAINTENANCE
Condition-Based maintenance has proven to be highly effective in industries where safety and reliability are the key concern. Advances in technology now allow for mass data collection, processing and analysis, making predictive condition-based maintenance more accessible to wider industry, beyond its aerospace roots.
This white paper explores the limitations of traditional condition-based maintenance approaches and looks at the challenges and benefits when adopting a predictive approach.
Download your free Condition Monitoring to Condition-Based Maintenance white paper
CONDITION-BASED MAINTENANCE: WHAT CAN WE LEARN FROM THE AEROSPACE INDUSTRY?
Prohibitive cost and the lack of the health & safety legislation have largely held back the adoption of helicopter-style HUMS in the manufacturing industry.
This white paper looks at the history of Health & Usage Monitoring Systems (HUMS), with Senseye’s CTO Rob Russell providing his view on what the manufacturing industry can learn from the aerospace sector.