Railroad

1310/2015

ARC Guest Blog: Counting toilet flushes help improve bullet train reliability

By |October 13th, 2015|Categories: Internet Of Things (IoT), Railroad|Tags: , , |

Greg Adams was a recent guest blogger on the ARC Advisory Group’s IIoT newsletter. We see a lot of data and it is interesting how mundane and often overlooked data can contain meaning. Read how counting toilet flushes is helping to increase the uptime and reliability of bullet trains.  http://industrial-iot.com/2015/10/how-wc-flushes-relate-to-locomotive-reliability/

 

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1310/2015

Metro Atlanta CEO writes a piece about Predictive Analytics

By |October 13th, 2015|Categories: Industries, Predikto News / Events, Railroad|Tags: , |

Metro Atlanta CEO has an article in their October newsletter covering Predictive Analytics and some of the interesting use cases Predikto has in Transportation.

Predikto, a leader in Predictive Analytics solutions Transportation, has begun to deploy their machine learning / artificial intelligence software to help improve equipment reliability at global companies.

Click on the article to read about actual use cases and gain an understanding of this disruptive technology.

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1707/2015

Predikto, Inc. Partners With New York Air Brake to Incorporate Predictive Analytics In NYAB’s LEADER Advanced Train Control Technology Solutions

By |July 17th, 2015|Categories: Internet Of Things (IoT), Manufacturing, Predictive Analytics, Predictive Maintenance, Railroad|Tags: |

ATLANTA, July 14, 2015 /PRNewswire/ — Predikto, Inc. today announced a new collaborative effort where New York Air Brake will incorporate Predikto’s auto-dynamic predictive analytics platform, MAX, into the company’s LEADER advanced train control technology solutions via its internet of things (IoT) initiative.

New York Air Brake, a subsidiary of the Knorr-Bremse Group (Munich, Germany), an innovation leader and supplier in the rail industry since 1890, will integrate a new predictive analytics component to its Advanced Train Control Technology solution, […]

1507/2015

Predikto: Making Waves in IoT!

By |July 15th, 2015|Categories: Internet Of Things (IoT), Predictive Analytics, Predikto News / Events, Railroad|Tags: , , |

The Internet of Things is generally defined as “Smart” + “Connected” + “Edge Devices” (Planes, Trains, Automobiles, Industrial & Farming Equipment, Medical Equipment, and Consumer Electronics)

Predikto focuses on putting the “smart” into managing smart connected devices, equipment and complex capital assets in order to forecast asset behavior/performance.

Industrial asset OEMs, operators and maintenance organizations are challenged by equipment performance degradation and failure as they impact uptime and efficiency. While reliability and condition-based solutions have been around […]

807/2015

A Software Industry Veteran’s Take on Predictive Analytics

By |July 8th, 2015|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Railroad|Tags: , , , , , |

I’m about 4 months into the job here at Predikto as VP, Sales.  The predictive analytics market is an exciting new market with predictably (pun intended) its share of hype.  Nevertheless, this is key niche of the Industrial Internet of Things sector. I’d like to share some observations on what I’ve learned thus far.

We focus on asset-intensive industries, helping organizations leverage the terabytes of data they have accumulated to anticipate the likelihood of an adverse […]

1604/2014

Transit Asset Management System 49 U.S.C. 5326 as part of the MAP21

By |April 16th, 2014|Categories: Industries, Market Analysis, Predictive Analytics, Railroad|Tags: , , |

Transit provides more than 10 billion passenger trips each year, which represents more trips each month than all of the Nation’s airlines combined will make in a year. When transit assets are not in a state of good repair (SGR), the consequences often include increased safety risks, decreased reliability, higher maintenance costs, and an overall lower quality of service to customers.

The Moving Ahead for Progress in the 21st Century Act, MAP-21, states in its section […]

804/2014

Moving Ahead for Progress in the 21st Century Act – MAP21

By |April 8th, 2014|Categories: Market Analysis, Predictive Analytics, Railroad|Tags: |

The Moving Ahead for Progress in the 21st Century Act, also known as MAP-21, is a law that includes provisions intended to improve security reducing crashes, injuries and fatalities involving large trucks and buses.

Many of the provisions in MAP-21 track the Agency’s strategic framework to improve commercial motor vehicle safety by supporting its three core principles:

Raise the bar to enter the industry and operate on the roads;
Hold motor carrier and drivers to the highest safety […]

2312/2013

Railroad Risk Reduction Program – Making Railroads Safer

By |December 23rd, 2013|Categories: Predictive Analytics, Railroad|Tags: , , , |

Predikto is embarking in a new initiative to help Class I railroad companies to achieve compliance with the Risk Reduction Program (RRP) mandated by the Rail Safety Improvement Act.

The primary objective of the Risk Reduction Program is ensuring the safety of the nation’s railroads by evaluating safety risks and managing those risks in order to reduce the numbers and rates of accidents, incidents, injuries and fatalities. The requirement is not a one time exercise but is ongoing to […]

2009/2013

Interesting Facts About the Railroad Industry

By |September 20th, 2013|Categories: Predictive Analytics, Predictive Maintenance, Railroad|Tags: |

There are 7 Class I railroads in the US: BNSF Railway, CSX Transportation, Grand Trunk Corporation, Kansas City Southern Railway, Norfolk Southern Combined Railroad Subsidiaries, Soo Line Corporation, and Union Pacific Railroad.

Unlike trucks, barges, and airlines in the U.S., freight railroads do not strain the public purse. Privately owned railroads have spent $525 billion since 1980 building, maintaining and growing their 140,000-mile rail network. That amount equals 40 cents of every revenue dollar. Even during […]

2708/2013

Railroad sensors are a huge swimming pool of data

By |August 27th, 2013|Categories: Predictive Analytics, Railroad|Tags: , , |

We like huge pools of data to tell interesting stories and help our clients improve safety and reliability. Railroad companies are capturing a lot of data and a potential client recently stated “We have a huge pool”.

Predikto met with a Class I railroad company in North America. They have 800 sensors installed across their thousands of miles of railroad track. The types of sensors included: – Hot wheel bearing detectors – Acoustic bearing detectors – […]